Alternatives and similar repositories for MIAS-mammography-obj-detection:

Users that are interested in MIAS-mammography-obj-detection are comparing it to the libraries listed below

• burakcanbuyukbas / mammo_cnn
  CBIS DDSM Breast Cancer Mammography Dataset - Convolutional Neural Networks
  ☆12Updated 4 years ago
• DIAGNijmegen / prostateMR_3D-CAD-csPCa
  Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder str…
  ☆40Updated 3 years ago
• nyukat / GLAM
  Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
  ☆45Updated 2 years ago
• Dipeshtamboli / Image-Classification-and-Localization-using-Multiple-Instance-Learning
  Official code for Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
  ☆76Updated 4 years ago
• adhaka3 / Pyadiomics-based-glioma-grading
  This is a complete guide on how to do Pyradiomics based feature extraction and then, build a model to calculate the grade of glioma.
  ☆25Updated 4 years ago
• shu-hai / two-stage-VAE-Attention-gate-BraTS2020
  2SCM-VAAG: A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation (BraTS 2020 Chall…
  ☆13Updated 2 years ago
• xiaohong1 / COVID-ViT
  ☆35Updated 5 months ago
• Ien001 / AG-CNN
  This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like …
  ☆51Updated 2 years ago
• CancerImageAI / DL_Radiomics_Fusion
  Comparison and fusion of deep learning and radiomics features of ground-glass nodules to predict the invasiveness risk of stage-I lung ad…
  ☆17Updated 5 years ago
• jbustospelegri / breast_cancer_diagnosis
  Development of deep learning tool to classify breast cancer images from CBIS-DDSM, INBreast and MIAS databases.
  ☆27Updated 3 years ago
• lawtrea / Attention-Guided-CNN-for-NIH-Chest-XRAY-Dataset
  In this project an Attention Guided CNN was modeled & trained on the chest XRAY dataset provided by NIH & followed the paper: Guan, Q., H…
  ☆13Updated 5 years ago
• sremedios / multiple_instance_learning
  ☆15Updated 5 years ago
• alexcla99 / brain_mri_medicalnet_classification
  Brain MRIs classification using a ResNet-like architecture.
  ☆24Updated 2 years ago
• linjiatai / PDBL
  PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning
  ☆17Updated 2 years ago
• OscarPellicer / prostate_lesion_detection
  Model for the detection, segmentation, and classification of prostate lesions from mpMRI, using ProstateX data and Retina U-Net
  ☆66Updated 3 years ago
• PhilipChicco / MICCAI2020mil
  MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"
  ☆37Updated 4 years ago
• BruceResearch / BiTr-Unet
  This repo is the source code for [BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation].
  ☆32Updated 2 years ago
• Gollini / NSCLC_Radiogenomics
  ☆14Updated last year
• hubutui / Gleason
  My code using PSPNet for MICCAI Gleason Challenge 2019
  ☆34Updated 3 years ago
• fitushar / 3D-GuidedGradCAM-for-Medical-Imaging
  This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different …
  ☆104Updated 4 years ago
• miacsu / MTTU-Net
  ☆35Updated 2 years ago
• smallboy-code / Breast-cancer-dataset
  ☆30Updated last year
• felixpeters / lung-cancer-detection
  Deep learning-based segmentation and classification of lung nodules
  ☆35Updated 3 years ago
• FCYtheFreeman / MDD_sMRI_classification_PyTorch
  3D sMRI data classification using PyTorch.
  ☆14Updated 5 years ago
• VemundFredriksen / LungTumorMask
  Automatic end-to-end lung tumor segmentation from CT images.
  ☆28Updated last year
• jdonnelly36 / AsymMirai
  ☆15Updated last month
• chestrad / survival_prediction
  ☆13Updated 4 years ago
• fitushar / WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature
  This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolu…
  ☆24Updated 4 years ago
• gholste / breast_mri_fusion
  [CVAMD 2021] "End-to-End Learning of Fused Image and Non-Image Feature for Improved Breast Cancer Classification from MRI"
  ☆40Updated last year
• haarburger / multi-scale-curriculum
  Code for Paper: Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
  ☆45Updated 5 years ago