Articles

MLG: a mixed local and global model for brain tumor classification

in Brain Imaging Methods

• Wenna Chen
• Xinghua Tan
• Jincan Zhang
• Ganqin Du
• Qizhi Fu
• Hongwei Jiang

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

in Cancer Epidemiology and Prevention

• Shuping Wang
• Min Li

Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification

• Saeed Iqbal
• Adnan N. Qureshi
• Musaed Alhussein
• Khursheed Aurangzeb
• Imran Arshad Choudhry
• Muhammad Shahid Anwar

A Transfer Learning–Based Active Learning Framework for Brain Tumor Classification

in Medicine and Public Health

• Ruqian Hao
• Khashayar Namdar
• Lin Liu
• Farzad Khalvati

A study on skin tumor classification based on dense convolutional networks with fused metadata

in Skin Cancer

• Wenjun Yin
• Jianhua Huang
• Jianlin Chen
• Yuanfa Ji

Brain tumor classification using GAN-augmented data with autoencoders and Swin Transformers

in Precision Medicine

• Abdullah Almuhaimeed
• Anas Bilal
• Abdulkareem Alzahrani
• Malek Alrashidi
• Mansoor Alghamdi
• Raheem Sarwar

A federated multimodal deep learning framework for brain tumor classification using MRI

in Machine Learning and Artificial Intelligence

• K. Lakshmi Vasanthi
• J. Sree Darshne
• Pattabiraman Venkatasubbu
• Parvathi Ramasubramanian

A machine learning model based on clinical features and ultrasound radiomics features for pancreatic tumor classification

in Cancer Endocrinology

• Shunhan Yao
• Dunwei Yao
• Yuanxiang Huang
• Shanyu Qin
• Qingfeng Chen

cTULIP: application of a human-based RNA-seq primary tumor classification tool for cross-species primary tumor classification in canine

in Cancer Genetics

• Jiaxin Long
• Satishkumar Ranganathan Ganakammal
• Sara E. Jones
• Harish Kothandaraman
• Deepika Dhawan
• Joe Ogas
• Deborah W. Knapp
• Matthew Beyers
• Nadia A. Lanman

A deep learning and radiomics fusion model enhances endoscopic ultrasonography diagnosis of gastric tumors

in Cancer Imaging and Image-directed Interventions

• Yi Liu
• Jinpeng Li
• Yuan Ning
• Yanjun Wu
• Peiyuan He
• Xianling Dong

PruDensNet: A Parameter Efficient Depthwise Separable CNN for MRI-Based Brain Tumor Classification

in Precision Medicine

• Mithila Arman
• Ahnaf Samin
• Rusho Maher Ali
• Md Maruf Rusafi Arnob
• Md Khurshid Jahan
• Ashiqul Islam

Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach

• Eid Albalawi
• Arastu Thakur
• D. Ramya Dorai
• Surbhi Bhatia Khan
• T. R. Mahesh
• Ahlam Almusharraf
• Khursheed Aurangzeb
• Muhammad Shahid Anwar

Explainable AI in medical imaging: an interpretable and collaborative federated learning model for brain tumor classification

in Cancer Epidemiology and Prevention

• Qurat-ul-ain Mastoi
• Shahid Latif
• Sarfraz Brohi
• Jawad Ahmad
• Abdulmajeed Alqhatani
• Mohammed S. Alshehri
• Alanoud Al Mazroa
• Rahmat Ullah

Least square-support vector machine based brain tumor classification system with multi model texture features

in Dynamical Systems

• Farhana Khan
• Yonis Gulzar
• Shahnawaz Ayoub
• Muneer Majid
• Mohammad Shuaib Mir
• Arjumand Bano Soomro

CerevianNet: parameter efficient multi-class brain tumor classification using custom lightweight CNN

in Precision Medicine

• Md Khurshid Jahan
• Abdullah Al Shafi
• Maher Ali Rusho
• Md. Shahriar Hussain
• Ahmed Faizul Haque Dhrubo