Brain Tumor Prediction Using DeeplabV3 with Resnet50 BB

My project aims to develop a brain tumor segmentation model using DeepLabV3+ with ResNet-50

Al momento, stai seguendo questo contributo

*ongoing project in developing brain tumor segmentation using deeplabv3 with resnet50 backbone

Cita come

Putu Fadya (2026). Brain Tumor Prediction Using DeeplabV3 with Resnet50 BB (https://it.mathworks.com/matlabcentral/fileexchange/180327-brain-tumor-prediction-using-deeplabv3-with-resnet50-bb), MATLAB Central File Exchange. Recuperato .

Informazioni generali

Compatibilità della release di MATLAB

  • Compatibile con qualsiasi release

Compatibilità della piattaforma

  • Windows
  • macOS
  • Linux
Versione Pubblicato Note della release Action
1.0.3

Fixing generated mask function

1.0.2

1. Adding gradcam++ (xAi) to evaluate the segmentation
2. Using skullstripping and ROI Cropping
3. Pretrained accuracy is 81%
4. Adding 5-fold of cross validation

1.0.1

adding more classification layer, data preprocessing and feature extraction fixed

1.0.0