prostate-cancer 开源项目推荐（107 个）

cbailes /awesome-ai-cancer

Awesome artificial intelligence in cancer diagnostics and oncology

Tesseract-MI /prostatecancer.ai

prostatecancer.ai 是一款基于人工智能的零足迹医疗图像查看器，能够识别具有临床意义的前列腺癌。

DIAGNijmegen /prostateMR_3D-CAD-csPCa

层级概率3D U-Net，具有注意力机制（—Attention U-Net、SEResNet）和带有深度监督的嵌套解码器结构（—UNet++）。内置于 TensorFlow 2.5。配置为多通道3D血压MRI扫描中临床显著的体素级别前列腺癌检测。

DrHB /prostate-cancer-detection

CNN ensemble for prostate cancer Gleason grading

oncogenetics /LocusExplorer

An interactive graphical illustration of genetic associations and their biological context

jamtheim /LUND-PROBE

LUND-PROBE – LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset

pimed /TRUSGlandSegmentation

Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study

med-air /PICG2scoring

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

pimed /SPCNet

TensorFlow implementation of our paper: "Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging [Medical Physics 2021]".

ShixiangWang /sigminer.prediction

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

digamjain /Cancer-Cell-Prediction

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

alvfdz /Glands-detection

🧠 A deep learning algorithm based on convolutional neural networks to detect glandular cells in digitalized biopsies of the prostate.

Pirata-Codex /Step-wise-forward-feature-selection

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

qurit /psma-hornet-pub

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

hasansust32 /Prostate_Cancer_Predictio

His study addresses these concerns by predicting prostate cancer using six (6) machine learningtechniques: Random Forest, SVM, KNN, Logistic Regression, Neutral Network, and the Ensemble model. We gathered data from 100 patients who were placed in ten different circumstances. The data was categorised as malignant or non-cancerous. Among the six …

tajwarabraraleef /3Dpix2pix-for-prostate-brachytherapy

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

tajwarabraraleef /coSegGAN

Keras/Tensorflow implementation for co-generation and segmentation of surgical instruments using unlabelled robot-assisted surgery data.

qurit /pca-lesion-seg

Automated detection and segmentation of metastatic prostate cancer lesions in whole-body PET/CT images

piotrsobecki /PCa-CNNs

Prostate lesion classification using Deep Convolutional Neural Networks

trianne24 /softcom-project

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