Hashwanth Gogineni

Data Science Skills

Artificial Intelligence	Statistical Modeling	Text Analytics
Big Data	Digital Analytics	Visualization
Python	R	Tableau

Domain Skills

Retail

Lung Cancer Detection

Category: Domain Usecases

Sub-Category: Health Care and Pharmaceuticals

Use-case Type: Image Classification

Tags: accuracy,air,breath,breathing problem,cancer,Classification,cnn,colon,convolutional neural network,Cough lung problem,deep learning,disease,health,health condition,health condition prediction,healthcare,hospital,human,image classification,infection,life,lung adenocarcinoma,lung benign,lung cancer,Lung Cancer Detection,lung disease,lung squamous cell carcinoma,medicine,patient,quality,scan,tissue,tissue images

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Note: Certain Model Inferences can take long time for the first run (Warmup) and would get faster with the subsequent inferences. We thank you for your patience.

Use Case Summary

Lung cancer is cancer that starts in the lungs and spreads throughout the body.
The project aims to detect cancer in human's lungs using deep learning.
There are 3 classes in the dataset, each with 5,000 images, being 'Lung adenocarcinoma', 'Lung benign' and 'Lung squamous cell carcinoma'.
The "Accuracy_score" metric has been used to measure that model's performance.