158 related articles for article (PubMed ID: 38774175)
1. Artificial Intelligence-Based Distinction of Actinic Keratosis and Seborrheic Keratosis.
Reddy S; Giri D; Patel R
Cureus; 2024 Apr; 16(4):e58692. PubMed ID: 38774175
[TBL] [Abstract][Full Text] [Related]
2. Development of an Artificial Intelligence Model for the Classification of Gastric Carcinoma Stages Using Pathology Slides.
Reddy S; Shaheed A; Seo Y; Patel R
Cureus; 2024 Mar; 16(3):e56740. PubMed ID: 38650818
[TBL] [Abstract][Full Text] [Related]
3. Transformation of Seborrheic Keratosis into Bowenoid Actinic Keratosis via Three Steps of Histological Change in a Patient with Rheumatoid Arthritis Treated with Multiple Immunosuppressants.
Oka M; Yamamoto Y; Fujii M
Case Rep Dermatol; 2020; 12(1):19-24. PubMed ID: 32110205
[TBL] [Abstract][Full Text] [Related]
4. The diagnostic value of p63, p16, and p53 immunohistochemistry in distinguishing seborrheic keratosis, actinic keratosis, and Bowen's disease.
Nasiri S; Azhari V; Bidari-Zerehpoosh F; Asadi-Kani Z; Talebi A
Dermatol Ther; 2021 Mar; 34(2):e14817. PubMed ID: 33497503
[TBL] [Abstract][Full Text] [Related]
5. The diagnostic value of in vivo reflectance confocal microscopy in actinic keratosis.
Tang Z; Kang L; Zhang Y; Huang J; Tong X; Zhou L; Zeng J
Skin Res Technol; 2021 Jan; 27(1):80-85. PubMed ID: 32696993
[TBL] [Abstract][Full Text] [Related]
6. Innovation in Actinic Keratosis Assessment: Artificial Intelligence-Based Approach to LC-OCT PRO Score Evaluation.
Daxenberger F; Deußing M; Eijkenboom Q; Gust C; Thamm J; Hartmann D; French LE; Welzel J; Schuh S; Sattler EC
Cancers (Basel); 2023 Sep; 15(18):. PubMed ID: 37760425
[TBL] [Abstract][Full Text] [Related]
7. AK-DL: A Shallow Neural Network Model for Diagnosing Actinic Keratosis with Better Performance Than Deep Neural Networks.
Wang L; Chen A; Zhang Y; Wang X; Zhang Y; Shen Q; Xue Y
Diagnostics (Basel); 2020 Apr; 10(4):. PubMed ID: 32294962
[TBL] [Abstract][Full Text] [Related]
8. A Deep Learning Based Framework for Diagnosing Multiple Skin Diseases in a Clinical Environment.
Zhu CY; Wang YK; Chen HP; Gao KL; Shu C; Wang JC; Yan LF; Yang YG; Xie FY; Liu J
Front Med (Lausanne); 2021; 8():626369. PubMed ID: 33937279
[No Abstract] [Full Text] [Related]
9. Deep Learning Classification of Drusen, Choroidal Neovascularization, and Diabetic Macular Edema in Optical Coherence Tomography (OCT) Images.
Riazi Esfahani P; Reddy AJ; Nawathey N; Ghauri MS; Min M; Wagh H; Tak N; Patel R
Cureus; 2023 Jul; 15(7):e41615. PubMed ID: 37565126
[TBL] [Abstract][Full Text] [Related]
10. Leveraging code-free deep learning for pill recognition in clinical settings: A multicenter, real-world study of performance across multiple platforms.
Ashraf AR; Somogyi-Végh A; Merczel S; Gyimesi N; Fittler A
Artif Intell Med; 2024 Apr; 150():102844. PubMed ID: 38553153
[TBL] [Abstract][Full Text] [Related]
11. An Actinic Keratosis Auxiliary Diagnosis Method Based on an Enhanced MobileNet Model.
Li S; Li C; Liu Q; Pei Y; Wang L; Shen Z
Bioengineering (Basel); 2023 Jun; 10(6):. PubMed ID: 37370662
[TBL] [Abstract][Full Text] [Related]
12. Evaluation of a Deep Learning Approach to Differentiate Bowen's Disease and Seborrheic Keratosis.
Jansen P; Baguer DO; Duschner N; Le'Clerc Arrastia J; Schmidt M; Wiepjes B; Schadendorf D; Hadaschik E; Maass P; Schaller J; Griewank KG
Cancers (Basel); 2022 Jul; 14(14):. PubMed ID: 35884578
[TBL] [Abstract][Full Text] [Related]
13. Artificial Intelligence Diagnosis of Parkinson's Disease From MRI Scans.
Reddy S; Giri D; Patel R
Cureus; 2024 Apr; 16(4):e58841. PubMed ID: 38784299
[TBL] [Abstract][Full Text] [Related]
14. The challenge of diagnosing seborrheic keratosis by reflectance confocal microscopy.
Guo A; Chen J; Yang C; Ding Y; Zeng Q; Tan L
Skin Res Technol; 2018 Nov; 24(4):663-666. PubMed ID: 29797357
[TBL] [Abstract][Full Text] [Related]
15. Leveraging Machine Learning for Accurate Detection and Diagnosis of Melanoma and Nevi: An Interdisciplinary Study in Dermatology.
Riazi Esfahani P; Mazboudi P; Reddy AJ; Farasat VP; Guirgus ME; Tak N; Min M; Arakji GH; Patel R
Cureus; 2023 Aug; 15(8):e44120. PubMed ID: 37750114
[TBL] [Abstract][Full Text] [Related]
16. Where Artificial Intelligence Can Take Us in the Management and Understanding of Cancerization Fields.
Orte Cano C; Suppa M; Del Marmol V
Cancers (Basel); 2023 Nov; 15(21):. PubMed ID: 37958437
[TBL] [Abstract][Full Text] [Related]
17. Dermoscopy-based Radiomics Help Distinguish Basal Cell Carcinoma and Actinic Keratosis: A Large-scale Real-world Study Based on a 207-combination Machine Learning Computational Framework.
Guan H; Yuan Q; Lv K; Qi Y; Jiang Y; Zhang S; Miao D; Wang Z; Lin J
J Cancer; 2024; 15(11):3350-3361. PubMed ID: 38817855
[TBL] [Abstract][Full Text] [Related]
18. Artificial intelligence-based PRO score assessment in actinic keratoses from LC-OCT imaging using Convolutional Neural Networks.
Thamm JR; Daxenberger F; Viel T; Gust C; Eijkenboom Q; French LE; Welzel J; Sattler EC; Schuh S
J Dtsch Dermatol Ges; 2023 Nov; 21(11):1359-1366. PubMed ID: 37707430
[TBL] [Abstract][Full Text] [Related]
19. Dermoscopy Improves the Diagnostic Accuracy of Melanomas Clinically Resembling Seborrheic Keratosis: Cross-Sectional Study of the Ability to Detect Seborrheic Keratosis-Like Melanomas by a Group of Dermatologists with Varying Degrees of Experience.
Carrera C; Segura S; Aguilera P; Takigami CM; Gomes A; Barreiro A; Scalvenzi M; Longo C; Cavicchini S; Thomas L; Malvehy J; Puig S; Zalaudek I
Dermatology; 2017; 233(6):471-479. PubMed ID: 29502116
[TBL] [Abstract][Full Text] [Related]
20. Development of an artificial intelligence model for predicting the likelihood of human embryo euploidy based on blastocyst images from multiple imaging systems during IVF.
Diakiw SM; Hall JMM; VerMilyea MD; Amin J; Aizpurua J; Giardini L; Briones YG; Lim AYX; Dakka MA; Nguyen TV; Perugini D; Perugini M
Hum Reprod; 2022 Jul; 37(8):1746-1759. PubMed ID: 35674312
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
