Results 141 to 150 of about 3,537,472 (355)

GPC: Generative and General Pathology Image Classifier [PDF]

arXiv
Deep learning has been increasingly incorporated into various computational pathology applications to improve its efficiency, accuracy, and robustness. Although successful, most previous approaches for image classification have crucial drawbacks. There exist numerous tasks in pathology, but one needs to build a model per task, i.e., a task-specific ...
arxiv  

Automatic Classification of Pathology Reports using TF-IDF Features [PDF]

arXiv, 2019
A Pathology report is arguably one of the most important documents in medicine containing interpretive information about the visual findings from the patient's biopsy sample. Each pathology report has a retention period of up to 20 years after the treatment of a patient.
arxiv  

DISEASES OF MUSCLE. A Study in Pathology. By Raymond D. Adams, D. Denny‐Brown and Carl M. Pearson. London: Cassell & Co. Ltd. New York: Paul B. Hoeber, Inc. Pp. xv + 556. 347 illustrations [PDF]

, 1954
Melissa Draper
openalex   +1 more source

NanoCMSer: a consensus molecular subtype stratification tool for fresh‐frozen and paraffin‐embedded colorectal cancer samples

Molecular Oncology, Volume 19, Issue 5, Page 1332-1346, May 2025.
Consensus molecular subtypes (CMS1‐4) have been identified to study colorectal cancer heterogeneity and serve as potential biomarkers. In this study, we developed and evaluated NanoCMSer, a NanoString‐based classifier using 55 genes, optimized for FF and FFPE to facilitate the clinical evaluation of CMS subtyping.
Arezo Torang, Simone van de Weerd, Veerle Lammers, Sander van Hooff, Inge van den Berg, Saskia van den Bergh, Miriam Koopman, Jan N. IJzermans, Jeanine M. L. Roodhart, Jan Koster, Jan Paul Medema   +10 more
wiley   +1 more source

Path of pathology [PDF]

arXiv
We present a few results about (non)pathology of submeasures and ideals.
arxiv  

A Note upon the Pathology and Treatment of Dysmenorrhea and Sterility. [PDF]

, 1913
T. C. Clare
openalex   +1 more source

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

RETRACTION: eNOS Gene Polymorphisms in Perinatal Hypoxic-Ischemic Encephalopathy [PDF]

Journal of Pathology and Translational Medicine, 2019
Journal of Pathology and Translational Medicine Editors
doaj   +1 more source

USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images [PDF]

arXiv
In computational pathology, researchers often face challenges due to the scarcity of labeled pathology datasets. Data augmentation emerges as a crucial technique to mitigate this limitation. In this study, we introduce an efficient data augmentation method for pathology images, called USegMix.
arxiv  

MicroRNAs in seminal plasma are able to discern infertile men at increased risk of developing testicular cancer

Molecular Oncology, Volume 19, Issue 4, Page 1188-1202, April 2025.
Male infertility is a known risk factor for the development of testicular cancer. In this paper, we analyzed the expression profile of a microRNA panel by real‐time PCR and validated the results by digital PCR. Experimental and bioinformatics analyses allowed us to identify possible biomarkers able to discern men with a higher risk of developing ...
Carmen Ferrara, Rosalia Battaglia, Angela Caponnetto, Anna Fazzio, Michele Stella, Cristina Barbagallo, Nicolò Musso, Federica Lunelio, Maria Elena Vento, Placido Borzì, Paolo Scollo, Davide Barbagallo, Marco Ragusa, Salvatore Pernagallo, Cinzia Di Pietro   +14 more
wiley   +1 more source