IEEE

Brain Tumor Detection Using MRI Images: Evaluating Pre-Trained Deep Learning Models with and without Data Augmentation

Abstract: In this study, various pre-trained models of deep learning are proposed for brain tumor detection using MRI images. The input data, sourced from the publicly available brain tumor MRI ...
Mashable

7 things to know about using an AI tutor

Studying with Learning Mode, Study Guide, or Google Guided Learning? Here's how to be successful. Credit: Ian Moore / Mashable Composite; Witthaya Prasongsin / Moment / Liubomyr Vorona / iStock / ...
Frontiers

Predicting molecular subtype in breast cancer using deep learning on mammography images

1 Department of Breast Surgery, Beijing Chao-Yang Hospital, Beijing, China 2 School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China Objectives: This ...
SciELO

Deep learning to classify the ripeness of coffee fruit in the mechanized harvesting process

The coffee industry is a vital sector of global agriculture. Coffee is one of the most widely traded plant products in the world. Coffee fruit ripeness affects the taste and aroma of the final brewed ...
The Conversation

How does AI affect how we learn? A cognitive psychologist explains why you learn when the work is hard

Brian W. Stone does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...
GitHub

agriculture-ai

PlantAi is a ResNet-based CNN model trained on the PlantVillage dataset to classify plant leaf images as healthy or diseased. This repository includes PyTorch training code, tools to convert the model ...
Microsoft

Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic liver disease worldwide, affecting over 30% of the global general population. Its progressive ...
Microsoft

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality

preventable cause in children, impacting development. Artificial intelligence (AI) offers promise for early diagnosis via otoscopic image analysis, but dataset biases and inconsistencies limit model ...
Hosted on MSN

Build a Deep Neural Network from Scratch in Python No Libraries Needed

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
CNN

Inside North Korea’s effort to infiltrate US companies

In recent years, thousands of North Korean IT workers have used stolen and made-up US identities to pose as Western developers, engineers, and tech consultants to funnel hundreds of millions of ...
Frontiers

Deep learning-based classification of multiple fundus diseases using ultra-widefield images

1 Department of ophthalmology, JiuJiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People’s Hospital, JiuJiang, Jiangxi, China 2 Department of Otolaryngology, The Seventh Affiliated Hospital, ...