Lung Preneoplasia Progression via Pathomics
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Updated
Nov 26, 2023 - Python
Lung Preneoplasia Progression via Pathomics
MMIR: Multimodal Image Registration
Macenko normalisation of big medical slides
In the dynamic landscape of medical artificial intelligence, this study explores the vulnerabilities of the Pathology Language-Image Pretraining (PLIP) model, a Vision Language Foundation model, under targeted attacks like PGD adversarial attack.
A speedy Android app system that efficiently delivers diagnostic information written by pathologists to their fellow doctors. Won First Prize at IETE's Inter-college Competition from amongst 130+ teams
Creating a Crowd sourcing platform to label pathological images. These images are first downloaded from internet using Twitter APIs and then passed through a deep learning model which filter or separate 'Pathological' & 'Non-Pathological' Images.
Python library for pathology image analysis
A multi-resolution CNN package to predict endometrial cancer features
Self-Supervised Contrastive Learning for Colon Pathology Classification
MC2 master's thesis repository.
Our solution for BreastPathQ cancer cellularity challenge
A curated list of awesome Multi-instance Learning frameworks for Whole Slide Images (WSIs) classification, segmentation, etc.
Compact Self-Supervised Vision Transformer (cSiT) on Histopathology Images
Noise Robust Learning with Hard Example Aware for Pathological Image classification
A collection of groovy scripts for digital pathology
The nuclei detection method on histology image proposed in the 2017 paper by Peikari et al.
🔬 Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
The repository has scripts and notebooks to train generative models. We specifically aim to train histo-pathology images which are protected under HIPAA law, to make a robust dataset for future pathology computer vision endeavors.
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