InTowards AIbySuryansh Shukla·Aug 1Organ-Specific Embedding Models for Computational PathologyNot Medium member, click here for access Google docs version click here
Abdullatauqir·Jul 11Whole-Slide Image Tumor Localization in Pathology AIHow selective neighborhood attention and nuclei-level fusion improve multiple instance learning, boundary delineation, and staging in…
Vladimir Iglovikov·May 12Albumentations in Life Sciences: Who Actually Uses ItAlbumentations is shared image-augmentation infrastructure for life-sciences AI. It shows up in radiology, histopathology, microscopy…A response icon1A response icon1
Vladimir Iglovikov·Apr 26Albumentations in Medical Imaging: Who Actually Uses ItAlbumentations is infrastructure in the medical-imaging / biomedical-imaging ecosystem, not a research curio. This post is the receipts…
Andreas Maier·Jan 31, 2025Histopathology & Foundation Models: How good are they really?A Comprehensive Comparison for Classification of Ovarian Cancer
InHigh Performance Artificial IntelligencebyHigh Performance Artificial Intelligence (HPAI)·Jan 30, 2025Bony for Histopathological Cancer DetectionCombining XCiT and DINO for Label-Free Histopathology Analysis
Robert McMenemy·Oct 24, 2024Neuro-Symbolic Hyperdimensional Learning for Breast Cancer Diagnosis: Uniting AI and Knowledge…IntroductionA response icon1A response icon1
Martin Klefas-Stennett·Mar 25, 2024How does image resolution affect detections in YOLOv9I have trained a YOLOv9 model on human annotated histopathology images that are patched to 1024x1024px at 1.44µm per pixel. I want to run…
Minh-Khang Le·Dec 16, 2023Building Blocks for AI: Unpacking the Essentials of Test Data for Computer Vision in Digital…Once we trained our computer vision (CV) models on an adequate and well-qualified training sample [1] of Whole Slide Images (WSIs), it is…
