In this study, we performed in vivo diagnosis of skin cancer based on implementation a portable low-cost spectroscopy setup combining analysis Raman and autofluorescence spectra the near-infrared region (800-915 nm). We studied 617 cases neoplasms (615 patients, 70 melanomas, 122 basal cell carcinomas, 12 squamous carcinomas 413 benign tumors) with setup. The studies considered patients examined by GPs local clinics directed to specialized Oncology Dispensary suspected cancer. Each sample...

The differentiation of skin melanomas and basal cell carcinomas (BCCs) was demonstrated based on combined analysis Raman autofluorescence spectra stimulated by visible NIR lasers. It ex vivo tested 39 40 BCCs. Six spectroscopic criteria utilizing information about alteration melanin, porphyrins, flavins, lipids, collagen content in tumor with a comparison to healthy were proposed. measured correlation between the proposed makes it possible define weakly correlated groups for discriminant...

The present paper studies the applicability of a portable cost‐effective spectroscopic system for optical screening skin tumors. in vivo Raman scattering and autofluorescence (AF) tumors with 785 nm excitation laser near‐infrared region included malignant melanoma, basal cell carcinoma various types benign neoplasms. efficiency was evaluated by comparison highly sensitive diagnosis accuracy human oncologist. Partial least square analysis AF spectra performed; specificity sensitivity...

Malignant skin tumors of different types were studied in vivo using optical coherence tomography (OCT), backscattering (BS), and Raman spectroscopy (RS). A multimodal method is proposed for early cancer detection based on complex analysis OCT images by their relative alteration scattered-radiation spectral intensities between malignant healthy tissues. An increase average accuracy diagnosis was observed a variety (9% sensitivity, 8% specificity) RS-BS-OCT system comparison with any the three...

Results of hyperspectral imaging analysis for in vivo visualization skin neoplasms are presented. 16 melanomas, 19 basal cell carcinomas and 10 benign tumors with different stages neoplasm growth were tested. The HSI system provide tissue images 5 nm spectral resolution the range 450-750 automatic stabilization each frame compensating displacement scanning area due to spontaneous macro-movements patient. integrated optical densities 530-600 600-670 ranges used real-time hemoglobin melanin...

The paper presents the analysis of hyperspectral images for human skin cancer diagnosis. imaging data contained backscattered spectra normal and malignant tumors. provided information about shape intensity hemoglobin melanin spectral lines differentiation pigmented neoplasms.

Optical coherence tomography (OCT) is employed in the diagnosis of skin cancer. Particularly, quantitative image features extracted from OCT images might be used as indicators to classify tumors. In present paper, we investigated intensity-based, texture-based and fractal-based for automatically classifying melanomas, basal cell carcinomas pigment nevi. Generalized estimating equations were test differences between A modified p value [Formula: see text][Formula: text]0.001 was considered...

Abstract The pathological state of a human body leads to altered biochemical composition fluids. Conventional analysis fluids is notable for its low‐informative value in localizing particular pathology. As an alternative, Raman spectroscopy provides detailed evaluation blood characteristics at the molecular level. spectra are characterized by multicollinearity as well presence autofluorescence background and noises different nature. Choice proper method experimental data processing crucial...

We propose a method for the diagnostics of skin neoplasms, based on analysis changes in autofluorescence spectra near infrared range. The was excited by means laser radiation with wavelength 785 nm ex vivo and studies subsequent exponential approximation its spectrum. quantitative qualitative criteria neoplasm type differentiation change curvature rate decrease approximating curve are found. It is shown that proposed approach allows malignant melanomas accuracy 88.4% studies, 86.2 % ones.

In the paper, we present test results of methods for noninvasive diagnosis skin neoplasms, based on hyperspectral registration images by using a camera with an acousto-optic tunable filter. For identification oncological pathologies, integral spectral index has been proposed set concentric regions around source neoplasm growth tissue sample under study. As well as taking account changes in properties tissue, introduced indirectly takes into classical ABCD dermatoscopic features: asymmetry,...

In this paper, we propose a report about our examining of the validity OCT in identifying changes using skin cancer texture analysis compiled from Haralick features, fractal dimension, Markov random field method and complex directional features different tissues. Described have been used to detect specific spatial characteristics, which can differentiate healthy tissue diverse cancers cross-section images (B- and/or C-scans). work, an interval type-II fuzzy anisotropic diffusion algorithm...

Two-step Raman spectroscopy phase method was proposed for differential diagnosis of malignant tumor in skin and lung tissue. It includes detection healthy tissue on first step with identification concrete cancer type the second step. Proposed analyze spectral intensity alteration 1300-1340 1640-1680 cm^-1 bands relation to 1450 band step, relative differences between RS intensities area closely adjacent lesion tested more than 40 <i>ex vivo</i> samples 50 <i>in tumors. Linear...

Optical coherence tomography (OCT) is an effective tool for determination of pathological topology that reflects structural and textural metamorphoses tissue. In this paper, we propose a report about our examining the validity OCT in identifying changes using skin cancer texture analysis compiled from Haralick features, fractal dimension, complex directional field features Markov random method different tissues. The experimental data set contains 530 images with normal tumors as Basal Cell...

A method of lung neoplasm diagnostics is proposed based on the combined analysis Raman and autofluorescence spectra excited by laser beam with wavelength 785 nm. Such approach allows fast selection pathology region followed differentiation type. The developed demonstrated sensitivity 90.9% specificity 71.4% in squamous cell carcinoma adenocarcinoma cases.

The fluorescence and Raman spectroscopy (RS) combined method of in vivo detection malignant human skin cancer was demonstrated. analysis used for abnormalities during fast scanning large tissue areas. In suspected cases malignancy the spectrum biological performed to determine type neoplasm. A special RS phase proposed identification tumor. Quadratic Discriminant Analysis tumor classification on planes. It shown that application provides a diagnosis melanoma with sensitivity 89% specificity 87%.

In this study we propose a several methods of autofluorescence signal processing for skin cancers control. Autofluorescence spectra normal and oncological pathologies stimulated by 457 nm laser were registered 56 tissue samples. Spectra 9 melanomas 19 basal cell carcinomas ex vivo . Estimation malignancy was made on the basis intensity shifts local maxima in 570 – 590 610 670 area. Separation performed with linear discriminant analysis. Overall accuracy type determining current reached 82.1%.

The problem of cancer control requires design new approaches for instrumental diagnostics, as the accuracy detection on first step diagnostics in clinics is slightly more than 50%. In this study, we present a method visualization and skin lung tumours based registration processing tissues hyperspectral images. series experiments images tissue samples carried out. Melanoma, basal cell carcinoma, nevi benign are studied <i>ex vivo</i> <i>in experiments; adenocarcinomas squamous carcinomas...

Complex investigation of mesh implants was performed involving laser confocal microscopy, backscattered probing and OCT imaging methods. The growth endomysium fat tissue with microcirculation vessels observed in the encapsulation region. Confocal microscopy analysis shows that such pathologies complications as necrosis formation microcavities were localized area near implant fibers size compatible fiber diameter. And number formations increase size, density microdefects on surface. Results...

In this paper, the new method for OCT images denoizing based on empirical mode decomposition (EMD) is proposed. The noise reduction a very important process following operations to analyze and recognition of tissue structure. Our does not require any additional hardware modifications. basics proposed described. Quality improvement suppression example edge-detection procedure using classical Canny's algorithm without pre- post-processing demonstrated. Improvement raw-segmentation in automatic...

In this work the study of optical properties skin tissues using Raman spectroscopy and autofluorescence analysis was performed. The different neoplasms carried out based on spectra stimulated by 785 nm laser. spectral data processed mathematical methods allowed for effective classification malignant benign tumors. proposed diagnostic helped to achieve 82.1-87% differentiation accuracy neoplasms.

The paper presents analysis of hyperspectral images for human skin cancer pathologies diagnostics. Hyperspectral data contained backscattered spectra normal and tumors. Analysis provided information about hemoglobin melanin content the differentiation malignant benign neoplasms based on tissues optical density calculation. It was shown that accuracy cancerous classification reaches 88% proposed algorithm analysis. approach may be a rapid reliable tool oncological diseases screening.

The combined application of optical coherence tomography, Raman and autofluorescence spectroscopy biotissues for the analysis human malignant neoplasms is demonstrated. Rapid investigation vast biotissue regions (at scale entire organs) possible using response. After selection zones pathologies one can visualise neoplasm topology in zone interest with micron precision by tomography. In case suspecting malignancy spectrum carried out that allows identification type sensitivity specificity...

In the ophthalmic research, measurement of retinal thickness is usually employed for characterizing structural changes tissue. However, in fractal dimension (FD) may provide additional information regarding structure layers and their early damage ocular diseases. present paper, we investigated possibility detecting cellular retina by applying a two-dimensional analysis to optical coherence tomography (OCT) images. OCT images were obtained from diabetic patients without retinopathy (DM, n =...

We present results of main skin chromophores (melanin and hemoglobin) optical analysis. Analysis 91 in vivo tissues (50 benign 41 malignant) was performed visible spectral region with hyperspectral imaging technique. To assess the malignancy we proposed two methods for calculating integral index tissue density a comparison their effectiveness physician survey. As diagnostic feature, propose to use data dispersion from studied healthy area. The classification discriminant analysis are...

Abstract This paper describes the use and results of a neural network classifier trained on set hyperspectral images benign malignant neoplasms. The analysis is carried out 2D extruded from data. ranges wavelengths at which research represented by intervals 530–570 nm 600–606 nm, caused assumption that entire spectral range redundant prospect saving resources. Melanoma, basal cell carcinoma (BCC), nevus papilloma are accepted as primary classes, most dangerous, common non-malignant types...