156 related articles for article (PubMed ID: 35814555)
1. Intelligent Deep Learning Enabled Oral Squamous Cell Carcinoma Detection and Classification Using Biomedical Images.
Alanazi AA; Khayyat MM; Khayyat MM; Elamin Elnaim BM; Abdel-Khalek S
Comput Intell Neurosci; 2022; 2022():7643967. PubMed ID: 35814555
[TBL] [Abstract][Full Text] [Related]
2. Automatic classification and detection of oral cancer in photographic images using deep learning algorithms.
Warin K; Limprasert W; Suebnukarn S; Jinaporntham S; Jantana P
J Oral Pathol Med; 2021 Oct; 50(9):911-918. PubMed ID: 34358372
[TBL] [Abstract][Full Text] [Related]
3. Histopathology-Based Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning.
Yang SY; Li SH; Liu JL; Sun XQ; Cen YY; Ren RY; Ying SC; Chen Y; Zhao ZH; Liao W
J Dent Res; 2022 Oct; 101(11):1321-1327. PubMed ID: 35446176
[TBL] [Abstract][Full Text] [Related]
4. Automatic detection of cervical lymph nodes in patients with oral squamous cell carcinoma using a deep learning technique: a preliminary study.
Ariji Y; Fukuda M; Nozawa M; Kuwada C; Goto M; Ishibashi K; Nakayama A; Sugita Y; Nagao T; Ariji E
Oral Radiol; 2021 Apr; 37(2):290-296. PubMed ID: 32506212
[TBL] [Abstract][Full Text] [Related]
5. Hybrid Rider Optimization with Deep Learning Driven Biomedical Liver Cancer Detection and Classification.
Al Duhayyim M; Mengash HA; Marzouk R; Nour MK; Mahgoub H; Althukair F; Mohamed A
Comput Intell Neurosci; 2022; 2022():6162445. PubMed ID: 35814569
[TBL] [Abstract][Full Text] [Related]
6. Enhancing oral squamous cell carcinoma detection: a novel approach using improved EfficientNet architecture.
Soni A; Sethy PK; Dewangan AK; Nanthaamornphong A; Behera SK; Devi B
BMC Oral Health; 2024 May; 24(1):601. PubMed ID: 38783295
[TBL] [Abstract][Full Text] [Related]
7. Deep Learning for Clinical Image Analyses in Oral Squamous Cell Carcinoma: A Review.
Chu CS; Lee NP; Ho JWK; Choi SW; Thomson PJ
JAMA Otolaryngol Head Neck Surg; 2021 Oct; 147(10):893-900. PubMed ID: 34410314
[TBL] [Abstract][Full Text] [Related]
8. Noninvasive diagnosis of oral squamous cell carcinoma by multi-level deep residual learning on optical coherence tomography images.
Yuan W; Yang J; Yin B; Fan X; Yang J; Sun H; Liu Y; Su M; Li S; Huang X
Oral Dis; 2023 Nov; 29(8):3223-3231. PubMed ID: 35842738
[TBL] [Abstract][Full Text] [Related]
9. OralNet: Fused Optimal Deep Features Framework for Oral Squamous Cell Carcinoma Detection.
Mohan R; Rama A; Raja RK; Shaik MR; Khan M; Shaik B; Rajinikanth V
Biomolecules; 2023 Jul; 13(7):. PubMed ID: 37509126
[TBL] [Abstract][Full Text] [Related]
10. Automated COVID-19 Classification Using Heap-Based Optimization with the Deep Transfer Learning Model.
Fakieh B; Ragab M
Comput Intell Neurosci; 2022; 2022():7508836. PubMed ID: 36045956
[TBL] [Abstract][Full Text] [Related]
11. Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma.
Fujima N; Andreu-Arasa VC; Meibom SK; Mercier GA; Salama AR; Truong MT; Sakai O
Eur Radiol; 2020 Nov; 30(11):6322-6330. PubMed ID: 32524219
[TBL] [Abstract][Full Text] [Related]
12. Diagnosis of Oral Squamous Cell Carcinoma Using Deep Neural Networks and Binary Particle Swarm Optimization on Histopathological Images: An AIoMT Approach.
Deif MA; Attar H; Amer A; Elhaty IA; Khosravi MR; Solyman AAA
Comput Intell Neurosci; 2022; 2022():6364102. PubMed ID: 36210968
[TBL] [Abstract][Full Text] [Related]
13. An Ensemble of Deep Learning Enabled Brain Stroke Classification Model in Magnetic Resonance Images.
Eshmawi AA; Khayyat M; Algarni AD; Hilali-Jaghdam I
J Healthc Eng; 2022; 2022():7815434. PubMed ID: 36437817
[TBL] [Abstract][Full Text] [Related]
14. Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning.
Rahman AU; Alqahtani A; Aldhafferi N; Nasir MU; Khan MF; Khan MA; Mosavi A
Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632242
[TBL] [Abstract][Full Text] [Related]
15. Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm.
Jeyaraj PR; Samuel Nadar ER
J Cancer Res Clin Oncol; 2019 Apr; 145(4):829-837. PubMed ID: 30603908
[TBL] [Abstract][Full Text] [Related]
16. BID-Net: An Automated System for Bone Invasion Detection Occurring at Stage T4 in Oral Squamous Carcinoma Using Deep Learning.
Agarwal P; Yadav A; Mathur P; Pal V; Chakrabarty A
Comput Intell Neurosci; 2022; 2022():4357088. PubMed ID: 35140773
[TBL] [Abstract][Full Text] [Related]
17. Barnacles Mating Optimizer with Deep Transfer Learning Enabled Biomedical Malaria Parasite Detection and Classification.
Dutta AK; Mageswari RU; Gayathri A; Dallfin Bruxella JM; Ishak MK; Mostafa SM; Hamam H
Comput Intell Neurosci; 2022; 2022():7776319. PubMed ID: 35694571
[TBL] [Abstract][Full Text] [Related]
18. Optimal Deep Stacked Sparse Autoencoder Based Osteosarcoma Detection and Classification Model.
Fakieh B; Al-Ghamdi ASA; Ragab M
Healthcare (Basel); 2022 Jun; 10(6):. PubMed ID: 35742091
[TBL] [Abstract][Full Text] [Related]
19. Effectiveness of deep learning classifiers in histopathological diagnosis of oral squamous cell carcinoma by pathologists.
Sukegawa S; Ono S; Tanaka F; Inoue Y; Hara T; Yoshii K; Nakano K; Takabatake K; Kawai H; Katsumitsu S; Nakai F; Nakai Y; Miyazaki R; Murakami S; Nagatsuka H; Miyake M
Sci Rep; 2023 Jul; 13(1):11676. PubMed ID: 37468501
[TBL] [Abstract][Full Text] [Related]
20. Automatic Detection of Oral Squamous Cell Carcinoma from Histopathological Images of Oral Mucosa Using Deep Convolutional Neural Network.
Das M; Dash R; Mishra SK
Int J Environ Res Public Health; 2023 Jan; 20(3):. PubMed ID: 36767498
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]