Innovative Approach for Brain Tumor Image Classification with Novel Optimized Feedforward Networks

Raafat Munshi

#Brain tumor image classification #AMFO-FNN #gaussian filter #GLCM #medical imaging

Hybrid FuzzyPCA-VGG16 Framework for Classifying Pox Virus Images

K.P. Haripriya,H. Hannah Inbarani

#Classification #VGG-16 #PCA #fuzzy membership function #CNN #resnet50 #data augmentation

Hybrid FuzzyPCA-VGG16 Framework for Classifying Pox Virus Images

K.P. Haripriya,H. Hannah Inbarani

#Classification #VGG-16 #PCA #fuzzy membership function #CNN #resnet50 #data augmentation

Impact of Data-Augmentation on Brain Tumor Detection Using Different YOLO Versions Models

Abdelraouf Ishtaiwi,Ali Ali,Ahmad Al-Qerem,Yazan Alsmadi,Amjad Aldweesh,Mohammad Alauthman,Omar Alzubi,Shadi Nashwan,Awad Ramadan,Musab Al-Zghoul,Someah Alangari

#Data-augmentation #objects detection #brain tumor #yolov7 #computer vision

Classification of Breast Cancer using Ensemble Filter Feature Selection with Triplet Attention Based Efficient Net Classifier

Bangalore Nagaraj Madhukar,Shivanandamurthy Hiremath Bharathi,Matta Polnaya Ashwin

#Breast cancer classification #histopathology image #ensemble filter feature selection #triplet attention based EfficientNet #TAENet

ERDAP: A Novel Method of Event Relation Data Augmentation Based on Relation Prediction

Ruijuan Hu,Haiyan Liu,Wentao Yu

#Relation prediction #event relation #data augmentation #graph convolutional networks #causality extraction

Generative Adversarial Networks with Data Augmentation and Multiple Penalty Areas for Image Synthesis

Li Chen,Huah Yong Chan

#Generative model #image synthesis #data augmentation

A Deep Learning based Arabic Script Recognition System: Benchmark on KHAT

Riaz Ahmad,Saeeda Naz,Muhammad Afzal,Sheikh Rashid,Marcus Liwicki,Andreas Dengel

#Handwritten Arabic text recognition #deep learning #data augmentation

Improved YOLOv3-tiny for Silhouette Detection Using Regularisation Techniques

Donia Ammous,Achraf Chabbouh,Awatef Edhib,Fahmi Kammoun,Nouri Masmoudi

#Silhouette/person detection #GPU #loss function #convolutional neural network #YOLOv3-tiny