This project is aimed at the use of CNNs in Bio-Medical images for object detection purposes. Proteins are “the doers” in the human cell, executing many functions that together enable life. Historically, classification of proteins has been limited to single patterns in one or a few cell types, but in... [Read More]

In this project, I used custom CNN along with transfer learning to detect iceberg from satellite observations. I used 15 fold image augmentation to test the effects of data augmenation on satellite data. The score without image augmentation was 0.299 (2556th rank). After augmentation the score was 0.1571(400th rank). Couple... [Read More]

Since convolutional neural networks are great for images recognition, I modified the task of speech recogniton into image recognition by creating spectrographs from .wav file. Then I trained a custom CNN model and it worked decently, achiving 85% accuracy. [Read More]

This project was aimed at exploration into the application of autoencoder-decoder based architectures in nerve segmentation. The dataset is sourced from kaggle. I trained UNets for semantic segmentation of nerves in ultrasound tiff images. [Read More]