Awesome artificial intelligence in cancer diagnostics and oncology

prostatecancer.ai is an AI-based, zero-footprint medical image viewer that can identify clinically significant prostate cancer.

Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.

An interactive graphical illustration of genetic associations and their biological context

[MICCAI'24] Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring

Train and Predict Cancer Subtype with Keras Model based on Mutational Signatures

Here I tried various Machine Learning algorithms on different cancer's dataset present in CSV format.

🧠 A deep learning algorithm based on convolutional neural networks to detect glandular cells in digitalized biopsies of the prostate. Performed as bachelor thesis for the degree in computer engineering.

A wrapper containing search algorithm of Forward Selection + Pattern Classifier of KNN to use optimal features in prostate cancer

Soft Computing Project by Shoffiyah (140810160057) and Patricia (140810160065).

Keras/Tensorflow implementation of 3D pix2pix for automating seed planning for prostate brachytherapy

A model for fully-automated segmentation of healthy organs in PSMA PET/CT images

Fully supervised, healthy/malignant prostate detection in multi-parametric MRI (T2W, DWI, ADC), using a modified 2D RetinaNet model for medical object detection, built upon a shallow SEResNet backbone.

Keras/Tensorflow implementation of TP-GAN (end-to-end automatic approach for treatment planning in low-dose-rate prostate brachytherapy)

ProLesA-Net: a Deep learning model For Prostate Lesion Segmentation from bi-parametric MR-Images

Code for the Cancers paper (Functional Linkage of RKIP to the Epithelial to Mesenchymal Transition and Autophagy during the Development of Prostate Cancer)

This repository is dedicated to raising awareness about prostate cancer through the prediction of prostate cancer and the explanation of the model's prediction using OmniXAI Explainers.

Fitting of three diffusion models to data acquired using combined T2-DWI.

PAM50 classifier for Prostate Cancer in Python

Extract Gleason scores from texts.