Topic: braintumour Goto Github
Some thing interesting about braintumour
Some thing interesting about braintumour
braintumour,2D-CNN for Brain Tumor Classification
User: 8-vishal
braintumour,Segmentation of Tumor Region in the Brain
User: abhim-12
braintumour,A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
User: aksh-ai
braintumour,Brain Tumor Detection from MRI images of the brain.
User: dheerajnbhat
braintumour,Classifying Three Types of Brain Tumor
User: gopiprasanthpotipireddy
braintumour,This study focuses on four deep-learning models, which are Inception V3, MobileNet V2, ResNet152V2, and VGG19, aiming to enhance the accuracy of tumor Classification
User: harshkarn
braintumour,A thorough project on brain tumour diagnosis. From start; data collection to finish; mobile app development.
User: ifunanyascript
braintumour,A mobile application developed for Brain tumor detection
User: janani-harshu
braintumour,Brain tumors are the consequence of abnormal growths and uncontrolled cells division in the brain. They can lead to death if they are not detected early and accurately. Some types of brain tumor such as Meningioma, Glioma, and Pituitary tumors are more common than the others.
User: kanishksh4rma
braintumour,Flutter app to detect brain tumor from MRI scans
User: lomash-relia
braintumour,Brain tumor Detection and Classification using Magnetic Resonance Images
User: mvhssriraj
braintumour,
User: prady2309
braintumour,Machine Learning
User: prakash2903
braintumour,A pattern classification analysis tool that potentially increased brain tumor diagnostic procedures. By taking an information picture, assign significance to different viewpoints in the picture and classify each case.
User: samhita-kolluri
braintumour,Brain Tumour Ontology
User: subhashishhh
braintumour,Brain Tumor Detection using CNN: Achieving 96% Accuracy with TensorFlow: Highlights the main focus of your project, which is brain tumor detection using a Convolutional Neural Network (CNN) implemented in TensorFlow. It also emphasizes the impressive achievement of reaching 96% accuracy, which showcases the effectiveness of your model.
User: vidhi1290
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