Работы, на которые ссылается эта работа

Работ: 48

Работа: Enhancing Medical Image Segmentation and Classification Using a Fuzzy-Driven Method

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu, Yutong Lin, Yue Cao +5
Статья2021Цитирований: 9
ABI
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F. Jaeger, Simon A. A. Kohl +2
Статья2020Цитирований: 8
ABI
Concatenated CNN-Based Pneumonia Detection Using a Fuzzy-Enhanced Dataset
Abror Shavkatovich Buriboev, Dilnoz Muhamediyeva, Holida Primova +3
СтатьяCOVID-19 diagnosis using AISensors2024Цитирований: 7
ABI
Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices
Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova +4
СтатьяBrain Tumor Detection and ClassificationBioengineering2025Цитирований: 7
ABI
Без названия
ДругоеЦитирований: 7
ABI
Без названия
ДругоеЦитирований: 4
ABI
Computer State Evaluation Using Adaptive Neuro-Fuzzy Inference Systems
Abror Shavkatovich Buriboev, Azamjon Muminov
СтатьяEEG and Brain-Computer InterfacesSensors2022Цитирований: 4
ABI
Improving Fire Detection Accuracy through Enhanced Convolutional Neural Networks and Contour Techniques
Abror Shavkatovich Buriboev, Хошим Рахманов, Temur Soqiyev +1
СтатьяFire Detection and Safety SystemsSensors2024Цитирований: 4
ABI
Adaptive histogram equalization and its variations
Stephen M. Pizer, E. Philip Amburn, John D. Austin +6
Статья1987Цитирований: 4
ABI
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Daniel Kermany, Michael H. Goldbaum, Wenjia Cai +36
Статья2018Цитирований: 4
ABI
Deep Learning in Medical Image Analysis
Dinggang Shen, Guorong Wu, Heung‐Il Suk
Обзорная статья2017Цитирований: 4
ABI
CNN-Based Kidney Segmentation Using a Modified CLAHE Algorithm
Abror Shavkatovich Buriboev, Ahmadjon Khashimov, Akmal Abduvaitov +1
СтатьяAdvanced Neural Network ApplicationsSensors2024Цитирований: 3
ABI
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection Using Chest X-ray
Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar +5
Статья2020Цитирований: 3
ABI
Deep-Pneumonia Framework Using Deep Learning Models Based on Chest X-Ray Images
Nada M. Elshennawy, Dina M. Ibrahim
Статья2020Цитирований: 3
ABI
Без названия
ДругоеЦитирований: 3
ABI
Image enhancement via adaptive unsharp masking
Andrea Polesel, Giovanni Ramponi, V.J. Mathews
Статья2000Цитирований: 3
ABI
Adaptive Contrast Enhancement for Infrared Images Based on the Neighborhood Conditional Histogram
Chengwei Liu, Xiubao Sui, Xiaodong Kuang +3
Статья2019Цитирований: 3
ABI
A Review of Deep-Learning-Based Medical Image Segmentation Methods
Xiangbin Liu, Liping Song, Shuai Liu +1
Обзорная статья2021Цитирований: 3
ABI
Integrating Color and Contour Analysis with Deep Learning for Robust Fire and Smoke Detection
Abror Shavkatovich Buriboev, Akmal Abduvaitov, Heung Seok Jeon
СтатьяFire Detection and Safety SystemsSensors2025Цитирований: 2
ABI
Multi-Level Training and Testing of CNN Models in Diagnosing Multi-Center COVID-19 and Pneumonia X-ray Images
Mohamed Talaat, Xiuhua Si, Jinxiang Xi
Статья2023Цитирований: 2
ABI
Без названия
ДругоеЦитирований: 2
ABI
Kidney segmentation from computed tomography images using deep neural network
Luana Batista da Cruz, José Denes Lima Araújo, Jonnison Lima Ferreira +5
Статья2020Цитирований: 2
ABI
MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net
Wenshuai Zhao, Dihong Jiang, Jorge Peña Queralta +1
Статья2020Цитирований: 2
ABI
A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images
Chiu‐Han Hsiao, Ping-Cherng Lin, Li-An Chung +6
Статья2022Цитирований: 2
ABI
Deep Segmentation Networks for Segmenting Kidneys and Detecting Kidney Stones in Unenhanced Abdominal CT Images
Dan Li, Chuda Xiao, Yang Liu +8
Статья2022Цитирований: 2
ABI