Prerak Mody – Medium

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Prerak Mody
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Towards Data Science

Deep Learning Models for Organ Segmentation in the Head And Neck Region

Using CT Images from the MICCAI 2015 — Head and Neck Auto Segmentation challenge

12 min readJan 26, 2021

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Deep Learning Models for Organ Segmentation in the Head And Neck Region

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Prerak Mody

Great post!

Made a github gist (https://gist.github.com/prerakmody/1b6f349db1634846303fac27060805cc) that visualizes your Inception network using…

1 min readJun 15, 2021

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Prerak Mody
in
Towards Data Science

Custom Training Loops for Medical Image Segmentation in Tensorflow 2.x

Leveraging the tf.function decorator to reduce time and memory requirements in custom tensorflow loops.

4 min readDec 31, 2020

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Custom Training Loops for Medical Image Segmentation in Tensorflow 2.x

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Prerak Mody
in
Towards Data Science

Profiling in Tensorflow 2.x

Using Tensorflow’s profiler to evaluate if using the tf.data.Dataset API and tf.function decorator helps to reduce time and memory demands.

5 min readDec 29, 2020

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Profiling in Tensorflow 2.x

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Prerak Mody
in
Towards Data Science

Medical Image Dataloaders in TensorFlow 2.x

Efficient extraction of medical image subvolumes for a head and neck segmentation dataset

5 min readDec 26, 2020

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Medical Image Dataloaders in TensorFlow 2.x

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Prerak Mody

Loss Functions for Computer Vision Models

Widely used loss functions for deep learning models, with a focus on semantic segmentation

5 min readDec 25, 2020

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Loss Functions for Computer Vision Models

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Prerak Mody

MicroDicom — A quick DICOM Viewer

Medical imaging equipment captures data in the DICOM format. MicroDicom is a free application that lets you load and view such images.

2 min readNov 5, 2020

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MicroDicom — A quick DICOM Viewer

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Prerak Mody
in
HackerNoon.com

Semantic Segmentation Datasets for Autonomous Driving

An understanding of open data sets for urban semantic segmentation shall help one understand how to proceed while training models for…

4 min readMar 29, 2018

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Semantic Segmentation Datasets for Autonomous Driving

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Prerak Mody

Prerak Mody

I'm a PhD Candidate at Leiden University Medical Centre. My research focuses on using deep learning for contour propagation of Organs at Risk in CT images.

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