558 related articles for article (PubMed ID: 35684696)
1. Hybrid and Deep Learning Approach for Early Diagnosis of Lower Gastrointestinal Diseases.
Fati SM; Senan EM; Azar AT
Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684696
[TBL] [Abstract][Full Text] [Related]
2. Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques.
Abunadi I; Senan EM
Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214531
[TBL] [Abstract][Full Text] [Related]
3. Hybrid Methods for Fundus Image Analysis for Diagnosis of Diabetic Retinopathy Development Stages Based on Fusion Features.
Alshahrani M; Al-Jabbar M; Senan EM; Ahmed IA; Saif JAM
Diagnostics (Basel); 2023 Aug; 13(17):. PubMed ID: 37685321
[TBL] [Abstract][Full Text] [Related]
4. Early Diagnosis of Oral Squamous Cell Carcinoma Based on Histopathological Images Using Deep and Hybrid Learning Approaches.
Fati SM; Senan EM; Javed Y
Diagnostics (Basel); 2022 Aug; 12(8):. PubMed ID: 36010249
[TBL] [Abstract][Full Text] [Related]
5. Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms.
Alsaade FW; Aldhyani THH; Al-Adhaileh MH
Comput Math Methods Med; 2021; 2021():9998379. PubMed ID: 34055044
[TBL] [Abstract][Full Text] [Related]
6. Automatic Analysis of MRI Images for Early Prediction of Alzheimer's Disease Stages Based on Hybrid Features of CNN and Handcrafted Features.
Khalid A; Senan EM; Al-Wagih K; Al-Azzam MMA; Alkhraisha ZM
Diagnostics (Basel); 2023 May; 13(9):. PubMed ID: 37175045
[TBL] [Abstract][Full Text] [Related]
7. Multi-Method Analysis of Histopathological Image for Early Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning and Hybrid Techniques.
Ahmad M; Irfan MA; Sadique U; Haq IU; Jan A; Khattak MI; Ghadi YY; Aljuaid H
Cancers (Basel); 2023 Oct; 15(21):. PubMed ID: 37958422
[TBL] [Abstract][Full Text] [Related]
8. Analyzing Histological Images Using Hybrid Techniques for Early Detection of Multi-Class Breast Cancer Based on Fusion Features of CNN and Handcrafted.
Al-Jabbar M; Alshahrani M; Senan EM; Ahmed IA
Diagnostics (Basel); 2023 May; 13(10):. PubMed ID: 37238243
[TBL] [Abstract][Full Text] [Related]
9. Hybrid Models Based on Fusion Features of a CNN and Handcrafted Features for Accurate Histopathological Image Analysis for Diagnosing Malignant Lymphomas.
Hamdi M; Senan EM; Jadhav ME; Olayah F; Awaji B; Alalayah KM
Diagnostics (Basel); 2023 Jul; 13(13):. PubMed ID: 37443652
[TBL] [Abstract][Full Text] [Related]
10. Hybrid Models for Endoscopy Image Analysis for Early Detection of Gastrointestinal Diseases Based on Fused Features.
Ahmed IA; Senan EM; Shatnawi HSA
Diagnostics (Basel); 2023 May; 13(10):. PubMed ID: 37238241
[TBL] [Abstract][Full Text] [Related]
11. Predicting of diabetic retinopathy development stages of fundus images using deep learning based on combined features.
Shamsan A; Senan EM; Ahmad Shatnawi HS
PLoS One; 2023; 18(10):e0289555. PubMed ID: 37862328
[TBL] [Abstract][Full Text] [Related]
12. Multi-Techniques for Analyzing X-ray Images for Early Detection and Differentiation of Pneumonia and Tuberculosis Based on Hybrid Features.
Ahmed IA; Senan EM; Shatnawi HSA; Alkhraisha ZM; Al-Azzam MMA
Diagnostics (Basel); 2023 Feb; 13(4):. PubMed ID: 36832302
[TBL] [Abstract][Full Text] [Related]
13. AI Techniques of Dermoscopy Image Analysis for the Early Detection of Skin Lesions Based on Combined CNN Features.
Olayah F; Senan EM; Ahmed IA; Awaji B
Diagnostics (Basel); 2023 Apr; 13(7):. PubMed ID: 37046532
[TBL] [Abstract][Full Text] [Related]
14. Histopathological Analysis for Detecting Lung and Colon Cancer Malignancies Using Hybrid Systems with Fused Features.
Al-Jabbar M; Alshahrani M; Senan EM; Ahmed IA
Bioengineering (Basel); 2023 Mar; 10(3):. PubMed ID: 36978774
[TBL] [Abstract][Full Text] [Related]
15. Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models.
Alshahrani M; Al-Jabbar M; Senan EM; Ahmed IA; Mohammed Saif JA
PLoS One; 2024; 19(3):e0298305. PubMed ID: 38512890
[TBL] [Abstract][Full Text] [Related]
16. Automated classification of nasal polyps in endoscopy video-frames using handcrafted and CNN features.
Ay B; Turker C; Emre E; Ay K; Aydin G
Comput Biol Med; 2022 Aug; 147():105725. PubMed ID: 35716434
[TBL] [Abstract][Full Text] [Related]
17. Deep Learning-Based Methods for Automatic Diagnosis of Skin Lesions.
El-Khatib H; Popescu D; Ichim L
Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32245258
[TBL] [Abstract][Full Text] [Related]
18. Deep learning-based prediction model for diagnosing gastrointestinal diseases using endoscopy images.
Sharma A; Kumar R; Garg P
Int J Med Inform; 2023 Sep; 177():105142. PubMed ID: 37422969
[TBL] [Abstract][Full Text] [Related]
19. A mathematical theory of shape and neuro-fuzzy methodology-based diagnostic analysis: a comparative study on early detection and treatment planning of brain cancer.
Kar S; Majumder DD
Int J Clin Oncol; 2017 Aug; 22(4):667-681. PubMed ID: 28321787
[TBL] [Abstract][Full Text] [Related]
20. Analysis of WSI Images by Hybrid Systems with Fusion Features for Early Diagnosis of Cervical Cancer.
Hamdi M; Senan EM; Awaji B; Olayah F; Jadhav ME; Alalayah KM
Diagnostics (Basel); 2023 Jul; 13(15):. PubMed ID: 37568901
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
