Alternatives and similar repositories for DIT-

Users that are interested in DIT- are comparing it to the libraries listed below

• pengzhiliang / MRBrainS_seg
  医学图像分割
  ☆92Updated 6 years ago
• lucs-C / Multi-modality-Infarct
  融合MRI多模态的图像的不同特征进行脑梗死区分割网络（基于Unet网络更改新的网络）
  ☆15Updated 5 years ago
• JlexZzz / pytorch-U-Net
  基于卷积神经网络U-Net实现生物医学影像分割，使用pytorch框架实现
  ☆22Updated 3 years ago
• libingbingdev / Alzheimer
  阿尔兹海默症的识别--DataFountain
  ☆46Updated 2 years ago
• xjtulyc / Medical-Image-Processing
  医学图像处理，增强CT分类，增强CT分割，Dense Net，U-Net，Focal Loss
  ☆32Updated 3 years ago
• Yueup / Alzheimer-master
  本科毕设、MRI+PET、3D ResNet-18、阿尔兹海默症（Alzheimer's disease）
  ☆22Updated 2 years ago
• Gxyhqzt / 3DUNet-Pytorch
  深度学习项目--基于深度卷积网络的肝脏分割
  ☆13Updated 3 years ago
• MeepoAII / CCF-alzheimer-s-disease-datafountian
  ccf 阿尔兹海默症的识别 baseline
  ☆23Updated 5 years ago
• Jacob00135 / TransformerMultimodal
  复现论文：TRANSFORMER-BASED MULTIMODAL FUSION FOR EARLY DIAGNOSIS OF ALZHEIMER’S DISEASE USING STRUCTURAL MRI AND PET
  ☆8Updated last year
• FCYtheFreeman / MDD_sMRI_classification_PyTorch
  3D sMRI data classification using PyTorch.
  ☆14Updated 5 years ago
• bytesc / Image_Recognition_WebGUI
  ✨基于 3D 卷积神经网络(CNN)的阿尔兹海默智能诊断 Web 应用 Alzheimer's Intelligent Diagnosis Web Application based on 3D Convolutional Neural Network and the AD…
  ☆133Updated 4 months ago
• kay-cottage / Flask_Keras_Xception_API
  使用Flask+Keras部署的基于Xception神经网络的细胞图像AI医疗辅助识别系统（含简单前端demo）
  ☆65Updated 3 years ago
• BUAAXZzz / Unet_liver_seg
  使用Unet进行MRI肝脏图像分割
  ☆33Updated 4 years ago
• junqiangchen / TN-SCUI2020-Challenge
  TN-SCUI2020-Challenge
  ☆37Updated 4 years ago
• Xminghua / AD_Prediction
  毕业设计项目-基于深度学习的阿兹海默症早期诊断辅助系统设计与实现
  ☆104Updated 5 years ago
• bytesc / Image-Recognition-system
  ✨基于 3D 卷积神经网络(CNN)的阿尔兹海默智能诊断 Web 应用 Alzheimer's Intelligent Diagnosis Web Application based on 3D Convolutional Neural Network and the A…
  ☆97Updated 4 months ago
• nblkStudy / ---ResNet-
  深度学习课程的课程设计-------基于ResNet优化模型的阿尔茨海默症的识别
  ☆20Updated 2 years ago
• alexcla99 / brain_mri_medicalnet_classification
  Brain MRIs classification using a ResNet-like architecture.
  ☆25Updated 2 years ago
• zhuozhuoweiwei / 3D-CNN-based-on-attention-mechanism
  本文采用基于注意力机制的卷积神经神经网络模型来实现对阿尔兹海默症疾病的分类。采用3D卷积对图像进行特征获取，通过在卷积中添加注意力机制，重点关注疾病脑图像中的患病区域，从而提高分类模型的实验精度。
  ☆32Updated 4 years ago
• xujinzh / U-Net
  医学图像分割经典深度学习网络Python代码实现
  ☆50Updated 4 years ago
• RoyceMao / 2D-Ultrasound-detection-and-segmentation
  【医学影像分析】2D超声图像的分割检测（Ultrasound Nerve Segmentation | Kaggle数据集）
  ☆57Updated 6 years ago
• Merofine / BrainTumorSegmentation
  胶质瘤图像分割，包括常用的U-Net网络和V-Net网络等（2D和3D）。
  ☆29Updated 2 years ago
• anxingle / UNet-pytorch
  medical image semantic segmentation
  ☆44Updated 3 years ago
• YapingZ / Tianchi-lung-nodule-detection-and-classification
  天池肺结节检测与分类
  ☆16Updated 6 years ago
• jinghaiting / binary_classification_keras
  keras使用迁移学习实现医学图像二分类（AK、SK）
  ☆28Updated 6 years ago
• sucaicai4 / Unet-series-for-Ultrasound-image-segmentation
  使用Unet系列语义分割模型,对超声波图像进行分割诊断.
  ☆43Updated 3 years ago
• advaitkumar3107 / MoNuSeg
  My solution for the MoNuSeg 2018 Challenge based on nuclei segmentation.
  ☆13Updated 2 years ago
• rushikesh12 / Classification-of-T1-MRI-Images
  Applied 3D CNN on T1-MRI images for classifying healthy/unhealthy subjects.
  ☆10Updated 4 years ago
• qmh1234567 / skin_disease_two_classification
  pytorch版—使用resnet50迁移学习实现皮肤病图片的二分类
  ☆126Updated 5 years ago
• liuzwin98 / Pulmonary-Nodule-Detection-Based-on-Deep-Learning
  Using U-net, 3D CNN and cGAN to accomplish Pulmonary Nodule Detection. Also it's my undergraduate research program.
  ☆41Updated 2 years ago