PinnedPublished inTowards Data ScienceDeep Learning Models for Organ Segmentation in the Head And Neck RegionUsing CT Images from the MICCAI 2015 — Head and Neck Auto Segmentation challengeJan 26, 2021Jan 26, 2021
Great post!Made a github gist (https://gist.github.com/prerakmody/1b6f349db1634846303fac27060805cc) that visualizes your Inception network using…Jun 15, 20211Jun 15, 20211
Published inTowards Data ScienceCustom Training Loops for Medical Image Segmentation in Tensorflow 2.xLeveraging the tf.function decorator to reduce time and memory requirements in custom tensorflow loops.Dec 31, 2020Dec 31, 2020
Published inTowards Data ScienceProfiling in Tensorflow 2.xUsing Tensorflow’s profiler to evaluate if using the tf.data.Dataset API and tf.function decorator helps to reduce time and memory demands.Dec 29, 2020Dec 29, 2020
Published inTowards Data ScienceMedical Image Dataloaders in TensorFlow 2.xEfficient extraction of medical image subvolumes for a head and neck segmentation datasetDec 26, 20202Dec 26, 20202
Loss Functions for Computer Vision ModelsWidely used loss functions for deep learning models, with a focus on semantic segmentationDec 25, 20201Dec 25, 20201
MicroDicom — A quick DICOM ViewerMedical imaging equipment captures data in the DICOM format. MicroDicom is a free application that lets you load and view such images.Nov 5, 20201Nov 5, 20201
Published inHackerNoon.comSemantic Segmentation Datasets for Autonomous DrivingAn understanding of open data sets for urban semantic segmentation shall help one understand how to proceed while training models for…Mar 29, 2018Mar 29, 2018