The state of the art for artificial intelligence in lung digital pathology
Lung diseases carry a significant burden of morbidity and mortality worldwide. The advent of
digital pathology (DP) and an increase in computational power have led to the development …
digital pathology (DP) and an increase in computational power have led to the development …
Artificial intelligence for dermatopathology: Current trends and the road ahead
SB Chen, RA Novoa - Seminars in Diagnostic Pathology, 2022 - Elsevier
Artificial intelligence (AI), including deep learning methods that leverage neural network-
based algorithms, hold significant promise for dermatopathology and other areas of …
based algorithms, hold significant promise for dermatopathology and other areas of …
Weakly Supervised Classification for Nasopharyngeal Carcinoma with Transformer in Whole Slide Images
Pathological examination of nasopharyngeal carcinoma (NPC) is an indispensable factor for
diagnosis, guiding clinical treatment and judging prognosis. Traditional and fully supervised …
diagnosis, guiding clinical treatment and judging prognosis. Traditional and fully supervised …
[HTML][HTML] Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data
Malignant Mesothelioma is a difficult to diagnose and highly lethal cancer usually
associated with asbestos exposure. It can be broadly classified into three subtypes …
associated with asbestos exposure. It can be broadly classified into three subtypes …
MesoGraph: Automatic profiling of mesothelioma subtypes from histological images
Mesothelioma is classified into three histological subtypes, epithelioid, sarcomatoid, and
biphasic, according to the relative proportions of epithelioid and sarcomatoid tumor cells …
biphasic, according to the relative proportions of epithelioid and sarcomatoid tumor cells …
Convolutional neural networks for segmentation of pleural mesothelioma: analysis of probability map thresholds (CALGB 30901, alliance)
M Shenouda, E Gudmundsson, F Li, CM Straus… - Journal of Imaging …, 2024 - Springer
The purpose of this study was to evaluate the impact of probability map threshold on pleural
mesothelioma (PM) tumor delineations generated using a convolutional neural network …
mesothelioma (PM) tumor delineations generated using a convolutional neural network …
Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens
X Liu, F Li, J Xu, J Ma, X Duan, R Mao, M Chen, Z Chen… - Virchows Archiv, 2024 - Springer
Crohn's disease (CD) and intestinal tuberculosis (ITB) share similar histopathological
characteristics, and differential diagnosis can be a dilemma for pathologists. This study …
characteristics, and differential diagnosis can be a dilemma for pathologists. This study …
Spindle cell tumors of the pleura and the peritoneum: pathologic diagnosis and updates
A diverse group of both benign and malignant spindle cell tumors can involve the pleura or
the peritoneum. Due to their rarity and overlapping morphologic features, these tumors can …
the peritoneum. Due to their rarity and overlapping morphologic features, these tumors can …
Malignant mesothelioma subtyping of tissue images via sampling driven multiple instance prediction
Malignant Mesothelioma is a difficult to diagnose and highly lethal cancer usually
associated with asbestos exposure. It can be broadly classified into three subtypes …
associated with asbestos exposure. It can be broadly classified into three subtypes …
Recent Advances in Mesothelioma
GA Lynch, NA Maskell, A Bibby - Current Pulmonology Reports, 2024 - Springer
Abstract Purpose of Review Pleural mesothelioma (PM) is a rare but fatal cancer of the
pleural surface. Most patients have a poor prognosis, despite treatment advances which …
pleural surface. Most patients have a poor prognosis, despite treatment advances which …