Amateur machine learning enthusiast.
Interests: Image processing, development of classification and segmentation models for medical imaging problems.
Projects
Liver and liver tumor segmentation using W-Net
A novel 2D CNN architecture has been proposed for the segmentation of liver and liver tumors from CT images. The proposed method has yielded the highest-ever recorded dice scores on the LiTS17 datasetTensorFlow, Keras, OpenCV, Kaggle, FastaiLiver and Liver Tumor Segmentation using W-Net
W-Net is a novel 2D CNN that we developed for liver and liver tumor segmentation. The proposed model achieved highest ever recorded dice score on the LiTS-17 dataset.TensorFlowSkills
Python