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Showing total 8 results
Start Over Topic deep learning Publication Type Magazines Region asia
8 results

1. Researchers from COMSATS University Islamabad Report Details of New Studies and Findings in the Area of Gastroenterology (An Automatic Gastric Polyp Detection Technique Using Deep Learning).

Subjects
DEEP learning, POLYPECTOMY, VIRTUAL colonoscopy, POLYPS, OBJECT recognition (Computer vision), GASTROENTEROLOGY, CONVOLUTIONAL neural networks
Abstract

This paper proposes an efficient object detection method for polyp detection using gastric images to address this issue. Keywords: Islamabad; Pakistan; Asia; Gastroenterology; Health and Medicine EN Islamabad Pakistan Asia Gastroenterology Health and Medicine 2023 FEB 20 (NewsRx) -- By a News Reporter-Staff News Editor at Gastroenterology Week -- New research on Gastroenterology is the subject of a report. [Extracted from the article]

Published
2023

2. Studies from China Agricultural University Further Understanding of Imaging Technology (Detection of Early Bruise In Apple Using Near-infrared Camera Imaging Technology Combined With Deep Learning).

Subjects
DEEP learning, AGRICULTURE, CAMERAS, CHINA studies, INFRARED technology
Abstract

The news reporters obtained a quote from the research from China Agricultural University, "In this paper, the NIR camera imaging technology combined with deep learning method to detect early bruise in apple was proposed. Keywords: Beijing; People's Republic of China; Asia; Diagnostics and Screening; Health and Medicine; Imaging Technology; Technology EN Beijing People's Republic of China Asia Diagnostics and Screening Health and Medicine Imaging Technology Technology 2023 FEB 12 (NewsRx) -- By a News Reporter-Staff News Editor at Medical Devices & Surgical Technology Week -- Data detailed on Technology - Imaging Technology have been presented. [Extracted from the article]

Published
2023

3. New Findings in Brain Cancer Described from SRM Institute of Science and Technology (Deep Learning for Multi-grade Brain Tumor Detection and Classification: a Prospective Survey).

Subjects
TUMOR classification, BRAIN cancer, DEEP learning, BRAIN tumors, TECHNICAL institutes
Abstract

A recent study conducted by researchers at the SRM Institute of Science and Technology in Chennai, India, explores the use of deep learning techniques in the detection and classification of brain tumors. The study emphasizes the importance of accurate detection and classification of brain tumors for effective treatment. It highlights the potential of deep learning in analyzing MRI images and offers an overview of various deep learning approaches for brain tumor classification. The research concludes that deep learning has shown promising results in addressing the challenges of brain tumor detection. [Extracted from the article]

Published
2024

4. Study Data from Indian Institute of Engineering Science & Technology Provide New Insights into Mental Health Diseases and Conditions (A Deep Learning Model for Depression Detection Based On Mfcc and Cnn Generated Spectrogram Features).

Subjects
MENTAL illness, DEEP learning, MENTAL health, SPECTROGRAMS, MENTAL depression, ENGINEERING
Abstract

A study conducted by researchers at the Indian Institute of Engineering Science & Technology in Sibpur, India, proposes a new audio-based method for detecting depression using deep learning techniques. The researchers developed a model that combines Mel-Frequency Cepstral Coefficients (MFCC) features and spectrogram features extracted from audio files using a convolutional neural network (CNN). The model achieved detection accuracy of over 90% on benchmark datasets, surpassing the current state-of-the-art. This research provides valuable insights into the challenges of diagnosing depression and offers a promising approach for automated depression detection. [Extracted from the article]

Published
2024

5. Studies Conducted at Guangxi University of Chinese Medicine on Materials Research Recently Reported (Fully Automated Construction of a Deep U-net Network Model for Medical Image Segmentation).

Subjects
COMPUTER-assisted image analysis (Medicine), IMAGE segmentation, BIOMEDICAL materials, CHINESE medicine, DIAGNOSTIC imaging
Abstract

A recent report discusses research conducted at Guangxi University of Chinese Medicine on materials research, specifically focusing on the use of deep learning technology for medical image segmentation. The researchers propose a fuzzy-controlled multicellular gene expression programming algorithm to automatically build and optimize the U-Net network model. The experimental results indicate that this algorithm outperforms other models in image recognition segmentation, particularly in the segmentation of COVID-19 CT medical images. For more information, readers can refer to the article "Fully Automated Construction of a Deep U-net Network Model for Medical Image Segmentation" published in Sensors and Materials. [Extracted from the article]

Published
2023

6. Studies in the Area of Scleroproteins Reported from Dalian Polytechnic University [Smartphone Platform Based On Gelatin Methacryloyl(Gelma)Combined With Deep Learning Models for Real-time Monitoring of Food Freshness].

Subjects
DEEP learning, GELATIN, BLACKBERRIES, CONVOLUTIONAL neural networks, SMARTPHONES
Abstract

Keywords: Dalian; People's Republic of China; Asia; Food Industries; Gelatin; Proteins; Scleroproteins; Dalian Polytechnic University EN Dalian People's Republic of China Asia Food Industries Gelatin Proteins Scleroproteins Dalian Polytechnic University Investigators publish new report on Proteins - Scleroproteins. For more information on this research see: Smartphone Platform Based On Gelatin Methacryloyl(Gelma)Combined With Deep Learning Models for Real-time Monitoring of Food Freshness. [Extracted from the article]

Published
2023

8. Findings on Alzheimer Disease Reported by Investigators at Zhejiang Chinese Medicine University (A New Early Warning Method for Human-computer Interaction of Alzheimer's Disease Patients Based On Deep Learning).

Subjects
ALZHEIMER'S disease, ALZHEIMER'S patients, CHINESE medicine, HUMAN-computer interaction, DEEP learning
Abstract

Hangzhou, People's Republic of China, Asia, Alzheimer Disease, Brain Diseases and Conditions, Central Nervous System Diseases and Conditions, Dementia, Health and Medicine, Neurodegenerative Diseases and Conditions, Tauopathies Keywords: Hangzhou; People's Republic of China; Asia; Alzheimer Disease; Brain Diseases and Conditions; Central Nervous System Diseases and Conditions; Dementia; Health and Medicine; Neurodegenerative Diseases and Conditions; Tauopathies EN Hangzhou People's Republic of China Asia Alzheimer Disease Brain Diseases and Conditions Central Nervous System Diseases and Conditions Dementia Health and Medicine Neurodegenerative Diseases and Conditions Tauopathies 2023 FEB 17 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- Current study results on Neurodegenerative Diseases and Conditions - Alzheimer Disease have been published. [Extracted from the article]

Published
2023