A Small and Easy approach to the BraTS2020 dataset (2D Segmentation)

Overview

BraTS2020

A Light & Scalable Solution to BraTS2020 | Medical Brain Tumor Segmentation (2D Segmentation)

  • Developed the segmentation models for segregating and detecting Brain Tumours
  • Used stacked-segmentation method on flair, mask, t1, t1ce, t2 mask using 2-D U-Nets with ResNet50 encoder and ImageNet weights with Dice Loss
  • Achieved a CV-score of dice loss - 0.009851, iou score - 0.7358, fscore - 0.8207

Dataset link: https://www.kaggle.com/awsaf49/brats20-dataset-training-validation

Owner
Gunjan Haldar
Pre-Final @ IIT (ISM), Dhanbad DS/AI/ML/DL/CV/NLP/Applied Statistics Second Account: GunH-colab Kolkata/Dhanbad, India
Gunjan Haldar
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