124 related articles for article (PubMed ID: 38734629)
1. Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50.
M MM; T R M; V VK; Guluwadi S
BMC Med Imaging; 2024 May; 24(1):107. PubMed ID: 38734629
[TBL] [Abstract][Full Text] [Related]
2. Refining neural network algorithms for accurate brain tumor classification in MRI imagery.
Alshuhail A; Thakur A; Chandramma R; Mahesh TR; Almusharraf A; Vinoth Kumar V; Khan SB
BMC Med Imaging; 2024 May; 24(1):118. PubMed ID: 38773391
[TBL] [Abstract][Full Text] [Related]
3. A novel approach of brain-computer interfacing (BCI) and Grad-CAM based explainable artificial intelligence: Use case scenario for smart healthcare.
Lamba K; Rani S
J Neurosci Methods; 2024 May; 408():110159. PubMed ID: 38723868
[TBL] [Abstract][Full Text] [Related]
4. An Explainable AI Paradigm for Alzheimer's Diagnosis Using Deep Transfer Learning.
Mahmud T; Barua K; Habiba SU; Sharmen N; Hossain MS; Andersson K
Diagnostics (Basel); 2024 Feb; 14(3):. PubMed ID: 38337861
[TBL] [Abstract][Full Text] [Related]
5. Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor.
Albalawi E; T R M; Thakur A; Kumar VV; Gupta M; Khan SB; Almusharraf A
BMC Med Imaging; 2024 May; 24(1):110. PubMed ID: 38750436
[TBL] [Abstract][Full Text] [Related]
6. Quantitative evaluation of Saliency-Based Explainable artificial intelligence (XAI) methods in Deep Learning-Based mammogram analysis.
Cerekci E; Alis D; Denizoglu N; Camurdan O; Ege Seker M; Ozer C; Hansu MY; Tanyel T; Oksuz I; Karaarslan E
Eur J Radiol; 2024 Apr; 173():111356. PubMed ID: 38364587
[TBL] [Abstract][Full Text] [Related]
7. Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering.
Zubair Rahman AMJ; Gupta M; Aarathi S; Mahesh TR; Vinoth Kumar V; Yogesh Kumaran S; Guluwadi S
BMC Med Inform Decis Mak; 2024 Apr; 24(1):113. PubMed ID: 38689289
[TBL] [Abstract][Full Text] [Related]
8. Deep learning diagnostic performance and visual insights in differentiating benign and malignant thyroid nodules on ultrasound images.
Liu Y; Feng Y; Qian L; Wang Z; Hu X
Exp Biol Med (Maywood); 2023 Dec; 248(24):2538-2546. PubMed ID: 38279511
[TBL] [Abstract][Full Text] [Related]
9. Grad-CAM-Based Explainable Artificial Intelligence Related to Medical Text Processing.
Zhang H; Ogasawara K
Bioengineering (Basel); 2023 Sep; 10(9):. PubMed ID: 37760173
[TBL] [Abstract][Full Text] [Related]
10. An explainable deep-learning model to stage sleep states in children and propose novel EEG-related patterns in sleep apnea.
Vaquerizo-Villar F; Gutiérrez-Tobal GC; Calvo E; Álvarez D; Kheirandish-Gozal L; Del Campo F; Gozal D; Hornero R
Comput Biol Med; 2023 Oct; 165():107419. PubMed ID: 37703716
[TBL] [Abstract][Full Text] [Related]
11. Deep Learning With an Attention Mechanism for Differentiating the Origin of Brain Metastasis Using MR images.
Jiao T; Li F; Cui Y; Wang X; Li B; Shi F; Xia Y; Zhou Q; Zeng Q
J Magn Reson Imaging; 2023 Nov; 58(5):1624-1635. PubMed ID: 36965182
[TBL] [Abstract][Full Text] [Related]
12. Visual interpretability in 3D brain tumor segmentation network.
Saleem H; Shahid AR; Raza B
Comput Biol Med; 2021 Jun; 133():104410. PubMed ID: 33894501
[TBL] [Abstract][Full Text] [Related]
13. DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence.
Wani NA; Kumar R; Bedi J
Comput Methods Programs Biomed; 2024 Jan; 243():107879. PubMed ID: 37897989
[TBL] [Abstract][Full Text] [Related]
14. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.
Ottom MA; Rahman HA; Dinov ID
IEEE J Transl Eng Health Med; 2022; 10():1800508. PubMed ID: 35774412
[TBL] [Abstract][Full Text] [Related]
15. Utilizing heat maps as explainable artificial intelligence for detecting abnormalities on wrist and elbow radiographs.
Lysdahlgaard S
Radiography (Lond); 2023 Oct; 29(6):1132-1138. PubMed ID: 37806069
[TBL] [Abstract][Full Text] [Related]
16. Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging.
Zhang Y; Hong D; McClement D; Oladosu O; Pridham G; Slaney G
J Neurosci Methods; 2021 Apr; 353():109098. PubMed ID: 33582174
[TBL] [Abstract][Full Text] [Related]
17. Detection and classification of brain tumor using hybrid deep learning models.
Babu Vimala B; Srinivasan S; Mathivanan SK; Mahalakshmi ; Jayagopal P; Dalu GT
Sci Rep; 2023 Dec; 13(1):23029. PubMed ID: 38155247
[TBL] [Abstract][Full Text] [Related]
18. Saliency Map and Deep Learning in Binary Classification of Brain Tumours.
Chmiel W; Kwiecień J; Motyka K
Sensors (Basel); 2023 May; 23(9):. PubMed ID: 37177747
[TBL] [Abstract][Full Text] [Related]
19. Deep Learning-Assisted Segmentation and Classification of Brain Tumor Types on Magnetic Resonance and Surgical Microscope Images.
Cekic E; Pinar E; Pinar M; Dagcinar A
World Neurosurg; 2024 Feb; 182():e196-e204. PubMed ID: 38030068
[TBL] [Abstract][Full Text] [Related]
20. Endoscopic Image Classification Based on Explainable Deep Learning.
Mukhtorov D; Rakhmonova M; Muksimova S; Cho YI
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991887
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]