Please Reffer the below attached video in the README.md for demo
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Updated
Jun 21, 2024 - CSS
Please Reffer the below attached video in the README.md for demo
Brain tumor classification based on MGMT methylation status present on the tumor cell.
This repository hosts the Cervical Cancer Image Classification project, a comprehensive effort aimed at improving the classification accuracy of Squamous Cell Carcinoma (SCC) through advanced deep learning models and ensemble techniques. The project utilizes the Herlev dataset.
Exploring the Application of Attention Mechanisms in Conjunction with Baseline Models on the COVID-19-CT Dataset
🤳🧱 What the F.. Brick ?! A powerful tool that detects up the Lego bricks out of your picture !
Image classification using deep learning models
Static malware detection using transfer learning techniques on MMCC_2015 dataset.
Towards Online Waypoint Generation for a Quadrotor Using Enhanced Monocular Depth Estimation.
Skin Cancer Detection Web App using Flask Framework deployed on the Heroku server.
This repo was developed for the Alzheimer disease diagnosis.
Models Supported: DenseNet121, DenseNet161, DenseNet169, DenseNet201 and DenseNet264 (1D and 2D version with DEMO for Classification and Regression)
Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays
Analysis of Abnormality in Humerus X-Ray images using DenseNet
Notebooks made for the Kaggle Global Wheat Detection Competition
Trabajo Fin de Máster: Estudio comparativo de un clasificador de imágenes en Raspberry Pi, de forma que se compara el tiempo de la inferencia en la Raspberry Pi con y sin el Neural Compute Stick (NCS). También se estudia como la complejidad de una red neuronal repercute en el tiempo de inferencia y se analiza si los tiempos obtenidos con el NCS …
To predict if a person has pneumonia or not using Chest X-Ray.
Replicated results from DenseDepth using DenseNet169 in Python.
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