A5053396075- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Cell Image Analysis Techniques
- Lung Cancer Treatments and Mutations
- Digital Imaging for Blood Diseases
- Lung Cancer Research Studies
- Lung Cancer Diagnosis and Treatment
- Cancer Immunotherapy and Biomarkers
- Image Processing Techniques and Applications
- Medical Image Segmentation Techniques
- Molecular Biology Techniques and Applications
- Cancer Genomics and Diagnostics
- Medical Imaging Techniques and Applications
- Digital Imaging in Medicine
- Biomedical Text Mining and Ontologies
- Colorectal Cancer Screening and Detection
- Radiology practices and education
- Anatomy and Medical Technology
- Colorectal Cancer Surgical Treatments
- Esophageal Cancer Research and Treatment
- Breast Lesions and Carcinomas
- HER2/EGFR in Cancer Research
- Digital Radiography and Breast Imaging
- Cancer Cells and Metastasis
- Cervical Cancer and HPV Research
Memorial Sloan Kettering Cancer Center
2017-2025
Fukuoka Tokushukai Hospital
2025
International Association for the Study of Lung Cancer
2024
Albert Einstein College of Medicine
2020
The Bronx Defenders
2020
Montefiore Medical Center
2020
National Cancer Center Hospital East
2019
Université Laval
2019
Japanese Red Cross Nagoya Daiichi Hospital
2019
Harvard University
2008-2018
PD-1 inhibitors are established agents in the management of non-small cell lung cancer (NSCLC); however, only a subset patients derives clinical benefit. To determine activity PD-1/PD-L1 within clinically relevant molecular subgroups, we retrospectively evaluated response patterns among EGFR-mutant, anaplastic lymphoma kinase (ALK)-positive, and EGFR wild-type/ALK-negative patients.We identified 58 treated with inhibitors. Objective rates (ORR) were assessed using RECIST v1.1. PD-L1...
Only prototypes 5 years ago, high-speed, automated whole slide imaging (WSI) systems (also called digital systems, virtual microscopes or wide field imagers) are becoming increasingly capable and robust. Modern devices can capture a in minutes at spatial sampling periods of less than 0.5 micron/pixel. The capacity to rapidly digitize large numbers slides should eventually have profound, positive impact on pathology. It is important, however, that pathologists validate these during...
Tumor islands—large collections of tumor cells isolated within alveolar spaces—can be seen in lung adenocarcinomas. Recently we observed by 3-dimensional reconstruction that these structures were connected with each other and the main different tissue planes, raising possibility islands being a means extension. However, clinical prognostic significance remains unknown. In this study, compared clinicopathologic molecular characteristics prognosis stages I to II adenocarcinomas (n=58) those...
Color consistency in histology images is still an issue digital pathology. Different imaging systems reproduced the colors of a histological slide differently.Color correction was implemented using color information nine patches calibration slide. The inherent spectral these along with their scanned were used to derive matrix whose coefficients convert pixels' target colors.There significant reduction CIELAB difference, between same H & E produced by two different whole scanners 3.42 units,...
Digital pathology (DP) implementations vary in scale, based on aims of intended operation. Few laboratories have completed a full-scale DP implementation, which may be due to high overhead costs that disrupt the traditional workflow. Neither standardized criteria nor benchmark data yet been published showing practical return investment after implementing platform.To provide and metrics support operational efficiency cost savings large academic center.Metrics reviewed include archived asset...
Standardization and validation of the color displayed by digital slides is an important aspect pathology implementation. While most common reason for variation variance in protocols practices histology lab, can also be affected capture parameters (for example, illumination filters), image processing display factors systems themselves. We have been developing techniques optimization along two paths. The first was based on standard that are scanned imaging system question. In this approach,...
This article summarizes the consensus reached at Summit on Color in Medical Imaging held Food and Drug Administration (FDA) May 8-9, 2013, co-sponsored by FDA ICC (International Consortium). The purpose of meeting was to gather information how color is currently handled medical imaging systems identify areas where there a need for improvement, define objective requirements, facilitate development best practices. Participants were asked concern unmet needs. summary documents topics that...
Background During a pandemic, it is important for clinicians to stratify patients and decide who receives limited medical resources. Machine learning models have been proposed accurately predict COVID-19 disease severity. Previous studies typically tested only one machine algorithm performance evaluation area under the curve analysis. To obtain best results possible, may be test different algorithms find prediction model. Objective In this study, we aimed use automated (autoML) train various...
Broad adoption of digital pathology (DP) is still lacking, and examples for DP connecting diagnostic, research, educational use cases are missing. We blueprint a holistic solution at large academic medical center ubiquitously integrated into clinical workflows; researchapplications including molecular, genetic, tissue databases; processes.
Digitized slides produced by whole slide image scanners can be easily shared over a network or transferring files to optical other data storage devices. Navigation of digitized is interactive and intended simulate viewing glass with microscope (virtual microscopy). Image software permits users edit, annotate, analyze, share images (WSI). As result, WSI have begun replace the traditional light microscope, offering myriad opportunities for education. This article focuses on current...
Imaging is vital for the assessment of physiologic and phenotypic details. In past, biomedical imaging was heavily reliant on analog, low-throughput methods, which would produce two-dimensional images. However, newer, digital, high-throughput three-dimensional (3D) rely computer vision graphics, are transforming way professionals practice. 3D has been useful in diagnostic, prognostic, therapeutic decision-making medical professions. Herein, we summarize current methods that enable optimal...
The process of digital imaging in microscopy is a series operations, each contributing to the quality final image that displayed on computer monitor. operations include sample preparation and staining by histology, optical formation microscope, sampling camera sensor, postprocessing compression, transmission across network display There an extensive literature about step fairly well understood. However, complete very hard standardize or even understand fully. important concepts for pathology...
Background : Three-dimensional (3D)-reconstruction from paraffin embedded sections has been considered laborious and time-consuming. However, the high-resolution images of large object areas different fields view obtained by 3D-reconstruction make one wonder whether it can add a new insight into lung adenocarcinoma, most frequent histology type cancer characterized its morphological heterogeneity. Objective In this work, we tested an automated tissue sectioning machine slide scanning system...
The Banff Digital Pathology Working Group (DPWG) was formed in the time leading up to and during joint American Society for Histocompatibility Immunogenetics/Banff Meeting, September 23-27, 2019, held Pittsburgh, Pennsylvania. At meeting, 14th Conference, presentations directly peripherally related topic of "digital pathology" were presented; discussions before, during, after meeting have resulted a list issues address DPWG. Included are practice standardization, integrative approaches study...