DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification [ECCV 2024]

Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "

simple pytorch unet model for brain tumor detection on MRI tiff images

This repo for the paper titled "SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification"

implementation of Tensorflow Unet brain tumor segmentation and detection enhanced with attention model on nii datasets

Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter (IJCNN 2020)

An effective deep learning classification framework for whole slide images.

This Python script uses TensorFlow to build, train, and evaluate a neural network for breast cancer diagnosis. It processes a dataset (cancer.csv), splits it into training and testing sets, and defines a sequential model with three sigmoid-activated dense layers. Users can train the model or evaluate it via an interactive command-line interface.

Beyin tümörlerini tespit etmek için derin öğrenme modeli. Python, TensorFlow, Keras ve diğer kütüphaneleri kullanarak geliştirildi.

Procesamiento, análisis y extracción de características de imágenes biomédicas.

Keras, Tensorflow, CNN(convolutional neural network),

scMalignantFinder is a Python package specially designed for analyzing cancer single-cell RNA-seq datasets to distinguish malignant cells from their normal counterparts.

A simple program to detect brain tumors from images using image processing

OncoMRI: AI-powered brain tumor diagnosis. Private & precise MRI analysis with personalized recommendations. Early detection, improved outcomes, and streamlined care. Your health, our priority.

Utilised transfer learning to fine-tune a CNN model trained on BACH dataset on TUPAC dataset to build breast cancer subtype classifier and did a simple windows Qt UI for it, users can click to upload a breast HP image, and the app will tell you its subtype.

AI-powered system for detecting and classifying brain tumors in MRI images. Utilizes YOLO segmentation and data augmentation to accurately identify glioma, meningioma, and pituitary tumors. Trained on 675 annotated images, the system enhances diagnostic reliability and supports healthcare professionals.