anindo-saha (@anindox8)
github

anindox8

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  • Stars
    star
    90
  • Global Rank 224,195 (Top 8 %)
  • Followers 27
  • Following 10
  • Registered about 6 years ago
  • Most used languages
    Python
         42.9 %
    Jupyter Notebook
         42.9 %
    Batchfile     14.3 %
  • Location 🇳🇱 Netherlands
  • Country Total Rank 3,912
  • Country Ranking
    Batchfile     32
    Jupyter Notebook
         138
    Python
         1,209

Top repositories

1

Ensemble-of-Multi-Scale-CNN-for-Dermatoscopy-Classification

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.
Jupyter Notebook
38
star
2

Deep-Segmentation-Features-for-Weakly-Supervised-3D-Disease-Classification-in-Chest-CT

Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN architecture (DenseVNet, 3D Residual U-Net).
Python
29
star
3

Atlas-Based-3D-Brain-Segmentation-in-T1-MRI

Fully supervised, multi-class 3D brain segmentation in T1 MRI, using atlas-based segmentation algorithms (label propagation, tissue models, Expectation-Maximization algorithm).
Batchfile
7
star
4

Multi-Color-Space-Features-for-Dermatoscopy-Classification

Fully supervised binary classification of skin lesions from dermatoscopic images using multi-color space moments/texture features and Support Vector Machines/Random Forests.
Jupyter Notebook
7
star
5

Ensemble-of-Multi-Scale-CNN-for-3D-Brain-Segmentation

Fully supervised, multi-class 3D brain segmentation in T1 MRI using an ensemble of diverse CNN architectures (3D FCN, 3D U-Net) with multi-scale input.
Python
4
star
6

2D-RetinaNet-for-Prostate-Localization-in-mpMRI

Fully supervised, healthy/malignant prostate detection in multi-parametric MRI (T2W, DWI, ADC), using a modified 2D RetinaNet model for medical object detection, built upon a shallow SEResNet backbone.
Python
3
star
7

Region-Proposal-for-Mass-Detection-in-Mammograms

Unsupervised region proposal and supervised patch extraction algorithms for extracting candidate 2D ROIs to train SVM/CNN classifiers, for mass detection in mammograms.
Jupyter Notebook
2
star