A5074048076- Cutaneous Melanoma Detection and Management
- Photodynamic Therapy Research Studies
- Cell Image Analysis Techniques
- AI in cancer detection
- Optical Coherence Tomography Applications
- Nonmelanoma Skin Cancer Studies
- Advanced Fluorescence Microscopy Techniques
- Image and Signal Denoising Methods
- Fire Detection and Safety Systems
- Sparse and Compressive Sensing Techniques
- Oral Health Pathology and Treatment
- Cutaneous lymphoproliferative disorders research
- Advanced Data Compression Techniques
- Computer Graphics and Visualization Techniques
- Immunotherapy and Immune Responses
- Photoacoustic and Ultrasonic Imaging
- Cancer Immunotherapy and Biomarkers
- Image Processing Techniques and Applications
- Advanced Biosensing Techniques and Applications
- Immune cells in cancer
- Advanced MRI Techniques and Applications
- Blind Source Separation Techniques
- Skin Protection and Aging
- Cancer and Skin Lesions
- Digital Filter Design and Implementation
Memorial Sloan Kettering Cancer Center
2016-2025
Advanced Dermatology
2024
Kettering University
2021
Bilkent University
2006-2013
İstanbul Nişantaşı Üniversitesi
2012
University of Tsukuba
1989-2007
Toshiba (Japan)
1985
Abstract Prior skin image datasets have not addressed patient-level information obtained from multiple lesions the same patient. Though artificial intelligence classification algorithms achieved expert-level performance in controlled studies examining single images, practice dermatologists base their judgment holistically on The 2020 SIIM-ISIC Melanoma Classification challenge dataset described herein was constructed to address this discrepancy between prior challenges and clinical practice,...
The use of artificial intelligence (AI) is accelerating in all aspects medicine and has the potential to transform clinical care dermatology workflows. However, develop image-based algorithms for applications, comprehensive criteria establishing development performance evaluation standards are required ensure product fairness, reliability, safety.
In this paper, an entropy-functional-based online adaptive decision fusion (EADF) framework is developed for image analysis and computer vision applications. framework, it assumed that the compound algorithm consists of several subalgorithms, each which yields its own as a real number centered around zero, representing confidence level particular subalgorithm. Decision values are linearly combined with weights updated according to active method based on performing entropic projections onto...
<h3>Importance</h3> The management of lentigo maligna (LM) and LM melanoma (LMM) is challenging because extensive subclinical spread its occurrence on cosmetically sensitive areas. Reflectance confocal microscopy (RCM) improves diagnostic accuracy for LMM can be used to delineate their margins. <h3>Objectives</h3> To evaluate whether handheld RCM with radial video mosaicing (HRCM-RV) offers accurate presurgical assessment <h3>Design, Setting, Participants</h3> This prospective study included...
Abstract Response to immunotherapies can be variable and unpredictable. Pathology-based phenotyping of tumors into ‘hot’ ‘cold’ is static, relying solely on T-cell infiltration in single-time single-site biopsies, resulting suboptimal treatment response prediction. Dynamic vascular events (tumor angiogenesis, leukocyte trafficking) within tumor immune microenvironment (TiME) also influence anti-tumor immunity response. Here, we report dynamic cellular-level TiME vivo that combines...
Abstract AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public datasets are comprised of dermoscopic photos and limited by selection bias, lack standardization, lend themselves development that can only be used skilled clinicians. The SLICE-3D (“Skin Lesion Image Crops Extracted from 3D TBP”) dataset described here addresses those concerns contains images over 400,000 distinct lesions seven dermatologic centers around the world....
A new method is presented for obtaining an analytical solution to the image-reconstruction problem in single-photon-emission computed tomography. The rigorous introduced by applying continuation process two-dimensional Fourier transform of image, which derived from one-dimensional transforms projection functions. calculations can be carried out a short computation time without involving unstable procedures. Numerical simulations were made demonstrate effectiveness proposed method.
Mohs surgery for the removal of nonmelanoma skin cancers (NMSCs) is performed in stages, while being guided by examination residual tumor with frozen pathology. However, preparation pathology at each stage time consuming and labor intensive. Real-time intraoperative reflectance confocal microscopy(RCM), combined video mosaicking, may enable rapid detection directly surgical wounds on patients. We report our initial experience 25 patients, using aluminum chloride nuclear contrast. Imaging was...
Although nevi with a peripheral rim of globules (peripheral globular [PGN]) observed dermoscopy are associated enlarging melanocytic nevi, their actual growth dynamics remain unknown. Because change is sensitive but nonspecific marker for melanoma, beginning to understand the patterns may improve ability physicians differentiate normal from abnormal and reduce unnecessary biopsies.To study morphologic evolution PGN on dermoscopy.A total 84 participants 121 September 1, 1999, through May...
Abstract We describe a computer vision-based mosaicking method for in vivo videos of reflectance confocal microscopy (RCM). RCM is microscopic imaging technique, which enables the users to rapidly examine tissue . Providing resolution at cellular-level morphology, combined with has shown be highly sensitive and specific non-invasively guiding skin cancer diagnosis. However, current techniques existing microscopes have been limited two-dimensional sequences individual still images, acquired...
Basal cell carcinoma (BCC) is the most common skin cancer. Dermoscopic imaging has improved diagnostic accuracy; however, diagnosis of nonpigmented BCC remains limited to arborizing vessels, ulceration, and shiny white structures.To assess multiple aggregated yellow-white (MAY) globules as a feature for BCC.In this retrospective, single-center, case-control study, tumors, determined clinically, were identified from database lesions consecutively biopsied during 7-year period (January 1,...
Extramammary Paget disease (EMPD) is commonly refractory to surgical and nonsurgical therapies. Identifying recurrent or persistent EMPD challenging because the multifocal, multiple blind scouting biopsies are usually performed in this setting. Handheld reflectance confocal microscopy (HRCM) has been used diagnose map primary therefore may be identify recurrences.To evaluate HRCM's diagnostic accuracy setting of as well its potential pitfalls.This prospective case series study included...
In this article, two closed and convex sets for blind deconvolution problem are proposed. Most blurring functions in microscopy symmetric with respect to the origin. Therefore, they do not modify phase of Fourier transform (FT) original image. As a result blurred image have same FT phase. set images prescribed can be used as constraint problems. Another that during reconstruction process is epigraph Total Variation (TV) function. This does need upper bound on total variation The...
Abstract Reflectance confocal microscopy (RCM) is a non-invasive imaging tool that reduces the need for invasive histopathology skin cancer diagnoses by providing high-resolution mosaics showing architectural patterns of skin, which are used to identify malignancies in-vivo. RCM similar dermatopathology sections, both requiring extensive training interpret. However, these modalities differ in orientation, as horizontal (parallel surface) while sections vertical, and contrast mechanism, with...
We investigated reflectance confocal microscopy (RCM) as a possible noninvasive approach for the diagnosis of cancer and real-time assessment surgical margins.
6082 Background: Oral cavity squamous cell carcinoma (SCC) remains a common malignancy in the head and neck region, with challenges tumor resection recurrence prevention. Traditional methods like frozen-section analysis are limited by time delays, sampling errors, tissue distortion. Reflectance Confocal Microscopy (RCM) provides noninvasive alternative for real-time, high-resolution imaging, but interpreting RCM images accurately requires expert knowledge. Integrating artificial intelligence...