sauravmishra1710

Bio-Medical-Image-Analysis-with-DICOMs

Understanding the biomedical coordinate systems and DICOM format for deep learning medical image analysis

Covid-19---A-Geo-Statistical-Analysis

A comprehensive analysis on the spread of the corona virus worldwide. The statistical analysis shows the spread using interactive charts and figures. The geographical analysis shows the spread of the virus on the geographical map of the majorly affected countries and highlighting the places with highest incidence rate.

EXPLAINABLE-AI---Skin-Cancer-Detection-explained-with-GRADCAM

Diagnose the presence of skin cancer in a person using CNN and as well explain what led the CNN to arrive at the decision. Visual explanations are made utilizing the Gradient-weighted Class Activation Mapping (Grad-CAM), the gradients flowing into the final convolutional layer to produce a coarse localization map highlighting the important regions in the image for considered for arriving at the decision. The original paper for GRADCAM can be found @ https://arxiv.org/abs/1610.02391

Heart-Failure-Condition-And-Survival-Analysis

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

Malaria-Detection-Using-Deep-Learning-Techniques

Malaria Parasite Detection using Efficient Neural Ensembles. Malaria, a life threatening disease caused by the bite of the Anopheles mosquito infected with the parasite, has been a major burden towards healthcare for years leading to approximately 400,000 deaths globally every year. This study aims to build an efficient system by applying ensemble techniques based on deep learning to automate the detection of the parasite using whole slide images of thin blood smears.

Python-GUI-with-PySimpleGUI

Exploring & Creating GUI based apps using PySimpleGUI. Details about PySimpleGUI module can be found @ https://pypi.org/project/PySimpleGUI/

Saurav.Hello.World

My Personal Web Space. A clean, beautiful, responsive personal web app template for Software Developers by a software developer developed using React JS.

U-Net---Biomedical-Image-Segmentation

Implementation of the paper titled - U-Net: Convolutional Networks for Biomedical Image Segmentation @ https://arxiv.org/abs/1505.04597

UNet-Plus-Plus---Brain-Tumor-Segmentation

Brain tumor segmentation using UNet++ Architecture . Implementation of the paper titled - UNet++: A Nested U-Net Architecture for Medical Image Segmentation @ https://arxiv.org/abs/1807.10165

sauravmishra1710/Heart-Failure-Condition-And-Survival-Analysis

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

sauravmishra1710/U-Net---Biomedical-Image-Segmentation

Implementation of the paper titled - U-Net: Convolutional Networks for Biomedical Image Segmentation @ https://arxiv.org/abs/1505.04597

sauravmishra1710/UNet-Plus-Plus---Brain-Tumor-Segmentation

Brain tumor segmentation using UNet++ Architecture . Implementation of the paper titled - UNet++: A Nested U-Net Architecture for Medical Image Segmentation @ https://arxiv.org/abs/1807.10165

sauravmishra1710/Malaria-Detection-Using-Deep-Learning-Techniques

Malaria Parasite Detection using Efficient Neural Ensembles. Malaria, a life threatening disease caused by the bite of the Anopheles mosquito infected with the parasite, has been a major burden towards healthcare for years leading to approximately 400,000 deaths globally every year. This study aims to build an efficient system by applying ensemble techniques based on deep learning to automate the detection of the parasite using whole slide images of thin blood smears.

sauravmishra1710/Bio-Medical-Image-Analysis-with-DICOMs

Understanding the biomedical coordinate systems and DICOM format for deep learning medical image analysis

sauravmishra1710/Python-GUI-with-PySimpleGUI

Exploring & Creating GUI based apps using PySimpleGUI. Details about PySimpleGUI module can be found @ https://pypi.org/project/PySimpleGUI/

sauravmishra1710/Tic-Tac-Toe-using-PySimpleGUI

tic-tac-toe Game using PySimpleGUI

sauravmishra1710/Covid-19-Detection-using-Deep-Learning

An AI and Deep Learning based solution to help diagnose the presence of Covid-19 infection by analyzing the chest X-Ray images.

sauravmishra1710/EXPLAINABLE-AI---Skin-Cancer-Detection-explained-with-GRADCAM

Diagnose the presence of skin cancer in a person using CNN and as well explain what led the CNN to arrive at the decision. Visual explanations are made utilizing the Gradient-weighted Class Activation Mapping (Grad-CAM), the gradients flowing into the final convolutional layer to produce a coarse localization map highlighting the important regions in the image for considered for arriving at the decision. The original paper for GRADCAM can be found @ https://arxiv.org/abs/1610.02391

sauravmishra1710/Inception---Going-Deeper-with-Convolutions

Inception - Going Deeper with Convolutions

sauravmishra1710/POS-TAGGING-NLP

HMMs and Viterbi algorithm for POS tagging.

sauravmishra1710/Saurav.Hello.World

My Personal Web Space. A clean, beautiful, responsive personal web app template for Software Developers by a software developer developed using React JS.

sauravmishra1710/AI-For-Medicine

https://www.deeplearning.ai/ai-for-medicine/

sauravmishra1710/Artificial-Intelligence-A-Review-of-Progress-and-Prospects-in-Medicine-and-Healthcare

This paper discusses about the progress AI has made in the healthcare domain and what the future of AI looks like. It also discusses about the implementation opportunities various AI technologies provide in various fields of healthcare & clinical workflow, how AI systems will boost healthcare to restore human touch in patient-physician encounters.

sauravmishra1710/Batch-Normalization-and-Internal-Covariate-Shift

Batch Normalization: Accelerate Training by Reducing Internal Covariate Shift - Paper Review

sauravmishra1710/Dynamic-Search-Filter

A search filter for a list of items, such as a list of products or contacts. The filter updates the displayed items based on the search input in real-time.

sauravmishra1710/Face-Mask-Detection

With the Covid-19 Pandemic, wearing of the face masks have become mandatory across the globe. Thus, an AI application that would enable the aumomatic detection if a person is wearing mask / or not will be benificial in areas such as automatically controlled (unmanned) entry gates at various places. A camers based application could flag-off persons not wearing mask and thus not allow entry.

sauravmishra1710/Image-Classification-with-React-and-Tensorflow-js

A simple image classification app created using tensorflow-js and react. The app uses the pre-built MobileNet v2 model for image classification without going through any additional training process.

sauravmishra1710/JS-Essential

This repository is for the Linkedin Learning course: JavaScript Essential Training

sauravmishra1710/Kyra---Your-Foodie-Assistant

A conversational bot which can help users discover restaurants across several Indian cities

sauravmishra1710/learning-tensorflowjs-powerful-machine-learning-in-javascript

The code for the book Learning TensorFlow.js by Gant Laborde - Published by O'Reilly Media

sauravmishra1710/new-relic-programmability

sauravmishra1710/Object-Detection-and-Semantic-Segmentation---RCNN

Object Detection and Semantic Segmentation

sauravmishra1710/oci-data-science-ai-samples

This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.

sauravmishra1710/OpenCV-Playground

My explorations and leanings with OpenCV

sauravmishra1710/Oracle-ADS-Learning

sauravmishra1710/Pagination-Component

Create a pagination component for a list of items fetched from an API. User navigates between pages, and ensure the data is displayed correctly.

sauravmishra1710/Pagination-with-Bookmark

A pagination component with ability to bookmark items in the paginated list & able to navigate to the bookmarked item on click of the corresponding bookmark reference.

sauravmishra1710/sauravmishra1710

test

sauravmishra1710/shadcn-ui

Understanding the shadcn-ui component library.