108 related articles for article (PubMed ID: 38783623)
1. Hybrid machine learning-based breast cancer segmentation framework using ultrasound images with optimal weighted features.
Vijayan S; Panneerselvam R; Roshini TV
Cell Biochem Funct; 2024 Jun; 42(4):e4054. PubMed ID: 38783623
[TBL] [Abstract][Full Text] [Related]
2. Applying dual models on optimized LSTM with U-net segmentation for breast cancer diagnosis using mammogram images.
Sivamurugan J; Sureshkumar G
Artif Intell Med; 2023 Sep; 143():102626. PubMed ID: 37673584
[TBL] [Abstract][Full Text] [Related]
3. Effective Image Processing and Segmentation-Based Machine Learning Techniques for Diagnosis of Breast Cancer.
Chaudhury S; Krishna AN; Gupta S; Sankaran KS; Khan S; Sau K; Raghuvanshi A; Sammy F
Comput Math Methods Med; 2022; 2022():6841334. PubMed ID: 35432588
[TBL] [Abstract][Full Text] [Related]
4. An efficient breast cancer classification model using bilateral filtering and fuzzy convolutional neural network.
Hayum AA; Jaya J; Sivakumar R; Paulchamy B
Sci Rep; 2024 Mar; 14(1):6290. PubMed ID: 38491186
[TBL] [Abstract][Full Text] [Related]
5. Reviewing Machine Learning and Image Processing Based Decision-Making Systems for Breast Cancer Imaging.
Zerouaoui H; Idri A
J Med Syst; 2021 Jan; 45(1):8. PubMed ID: 33404910
[TBL] [Abstract][Full Text] [Related]
6. GestroNet: A Framework of Saliency Estimation and Optimal Deep Learning Features Based Gastrointestinal Diseases Detection and Classification.
Khan MA; Sahar N; Khan WZ; Alhaisoni M; Tariq U; Zayyan MH; Kim YJ; Chang B
Diagnostics (Basel); 2022 Nov; 12(11):. PubMed ID: 36359566
[TBL] [Abstract][Full Text] [Related]
7. Deep Transfer Learning-Based Breast Cancer Detection and Classification Model Using Photoacoustic Multimodal Images.
Althobaiti MM; Ashour AA; Alhindi NA; Althobaiti A; Mansour RF; Gupta D; Khanna A
Biomed Res Int; 2022; 2022():3714422. PubMed ID: 35572730
[TBL] [Abstract][Full Text] [Related]
8. Efficient Segmentation of Brain Tumor Using FL-SNM with a Metaheuristic Approach to Optimization.
Natarajan A; Kumarasamy S
J Med Syst; 2019 Jan; 43(2):25. PubMed ID: 30604101
[TBL] [Abstract][Full Text] [Related]
9. BirCat Optimization for Automatic Segmentation of Brain Tumors and Pixel Change Detection Using Post-operative MRI Images.
K V S; Sugitha N
J Digit Imaging; 2023 Apr; 36(2):647-665. PubMed ID: 36544068
[TBL] [Abstract][Full Text] [Related]
10. A Novel Breast Cancer Diagnosis Scheme With Intelligent Feature and Parameter Selections.
Punitha S; Stephan T; Gandomi AH
Comput Methods Programs Biomed; 2022 Feb; 214():106432. PubMed ID: 34844767
[TBL] [Abstract][Full Text] [Related]
11. Detection of Aβ plaque deposition in MR images based on pixel feature selection and class information in image level.
Li Y; Zhu X; Wang P; Wang J; Liu S; Li F; Qiu M
Biomed Eng Online; 2016 Sep; 15():108. PubMed ID: 27632977
[TBL] [Abstract][Full Text] [Related]
12. CTG-Net: Cross-task guided network for breast ultrasound diagnosis.
Yang K; Suzuki A; Ye J; Nosato H; Izumori A; Sakanashi H
PLoS One; 2022; 17(8):e0271106. PubMed ID: 35951606
[TBL] [Abstract][Full Text] [Related]
13. Automatic Identification of Breast Ultrasound Image Based on Supervised Block-Based Region Segmentation Algorithm and Features Combination Migration Deep Learning Model.
Liao WX; He P; Hao J; Wang XY; Yang RL; An D; Cui LG
IEEE J Biomed Health Inform; 2020 Apr; 24(4):984-993. PubMed ID: 31869809
[TBL] [Abstract][Full Text] [Related]
14. CT-ML: Diagnosis of Breast Cancer Based on Ultrasound Images and Time-Dependent Feature Extraction Methods Using Contourlet Transformation and Machine Learning.
Hajipour Khire Masjidi B; Bahmani S; Sharifi F; Peivandi M; Khosravani M; Hussein Mohammed A
Comput Intell Neurosci; 2022; 2022():1493847. PubMed ID: 35655521
[TBL] [Abstract][Full Text] [Related]
15. Breast ultrasound tumor image classification using image decomposition and fusion based on adaptive multi-model spatial feature fusion.
Zhuang Z; Yang Z; Raj ANJ; Wei C; Jin P; Zhuang S
Comput Methods Programs Biomed; 2021 Sep; 208():106221. PubMed ID: 34144251
[TBL] [Abstract][Full Text] [Related]
16. Hybrid Convolution Neural Network in Classification of Cancer in Histopathology Images.
Angayarkanni SP
J Digit Imaging; 2022 Apr; 35(2):248-257. PubMed ID: 35022925
[TBL] [Abstract][Full Text] [Related]
17. An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm.
Chowdhary CL; Mittal M; P K; Pattanaik PA; Marszalek Z
Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32668793
[TBL] [Abstract][Full Text] [Related]
18. An Intensity Variation Pattern Analysis Based Machine Learning Classifier for MRI Brain Tumor Detection.
Murugesan M; Ragavan D
Curr Med Imaging Rev; 2019; 15(6):555-564. PubMed ID: 32008563
[TBL] [Abstract][Full Text] [Related]
19. A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering.
Shan J; Cheng HD; Wang Y
Med Phys; 2012 Sep; 39(9):5669-82. PubMed ID: 22957633
[TBL] [Abstract][Full Text] [Related]
20. Suspicious Lesion Segmentation on Brain, Mammograms and Breast MR Images Using New Optimized Spatial Feature Based Super-Pixel Fuzzy C-Means Clustering.
Kumar SN; Fred AL; Varghese PS
J Digit Imaging; 2019 Apr; 32(2):322-335. PubMed ID: 30402671
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
