196 related articles for article (PubMed ID: 36676093)
1. Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey.
Zafar M; Sharif MI; Sharif MI; Kadry S; Bukhari SAC; Rauf HT
Life (Basel); 2023 Jan; 13(1):. PubMed ID: 36676093
[TBL] [Abstract][Full Text] [Related]
2. Deep Learning Approaches Towards Skin Lesion Segmentation and Classification from Dermoscopic Images - A Review.
Baig R; Bibi M; Hamid A; Kausar S; Khalid S
Curr Med Imaging; 2020; 16(5):513-533. PubMed ID: 32484086
[TBL] [Abstract][Full Text] [Related]
3. Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review.
Debelee TG
Diagnostics (Basel); 2023 Oct; 13(19):. PubMed ID: 37835889
[TBL] [Abstract][Full Text] [Related]
4. A survey, review, and future trends of skin lesion segmentation and classification.
Hasan MK; Ahamad MA; Yap CH; Yang G
Comput Biol Med; 2023 Mar; 155():106624. PubMed ID: 36774890
[TBL] [Abstract][Full Text] [Related]
5. A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics.
Rai HM; Yoo J
J Cancer Res Clin Oncol; 2023 Nov; 149(15):14365-14408. PubMed ID: 37540254
[TBL] [Abstract][Full Text] [Related]
6. The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer.
Mazhar T; Haq I; Ditta A; Mohsan SAH; Rehman F; Zafar I; Gansau JA; Goh LPW
Healthcare (Basel); 2023 Feb; 11(3):. PubMed ID: 36766989
[TBL] [Abstract][Full Text] [Related]
7. Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network.
Li Y; Shen L
Sensors (Basel); 2018 Feb; 18(2):. PubMed ID: 29439500
[TBL] [Abstract][Full Text] [Related]
8. State-of-the-Art Challenges and Perspectives in Multi-Organ Cancer Diagnosis via Deep Learning-Based Methods.
Ali S; Li J; Pei Y; Khurram R; Rehman KU; Rasool AB
Cancers (Basel); 2021 Nov; 13(21):. PubMed ID: 34771708
[TBL] [Abstract][Full Text] [Related]
9. Novel Approaches for Diagnosing Melanoma Skin Lesions Through Supervised and Deep Learning Algorithms.
Premaladha J; Ravichandran KS
J Med Syst; 2016 Apr; 40(4):96. PubMed ID: 26872778
[TBL] [Abstract][Full Text] [Related]
10. Classification of Skin Lesion through Active Learning Strategies.
Batista LG; Bugatti PH; Saito PTM
Comput Methods Programs Biomed; 2022 Nov; 226():107122. PubMed ID: 36116397
[TBL] [Abstract][Full Text] [Related]
11. Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review.
Zahoor S; Lali IU; Khan MA; Javed K; Mehmood W
Curr Med Imaging; 2020; 16(10):1187-1200. PubMed ID: 32250226
[TBL] [Abstract][Full Text] [Related]
12. Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review.
Kassem MA; Hosny KM; Damaševičius R; Eltoukhy MM
Diagnostics (Basel); 2021 Jul; 11(8):. PubMed ID: 34441324
[TBL] [Abstract][Full Text] [Related]
13. Skin Cancer Detection: A Review Using Deep Learning Techniques.
Dildar M; Akram S; Irfan M; Khan HU; Ramzan M; Mahmood AR; Alsaiari SA; Saeed AHM; Alraddadi MO; Mahnashi MH
Int J Environ Res Public Health; 2021 May; 18(10):. PubMed ID: 34065430
[TBL] [Abstract][Full Text] [Related]
14. Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review.
Painuli D; Bhardwaj S; Köse U
Comput Biol Med; 2022 Jul; 146():105580. PubMed ID: 35551012
[TBL] [Abstract][Full Text] [Related]
15. Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification.
Chatterjee S; Dey D; Munshi S
Comput Methods Programs Biomed; 2019 Sep; 178():201-218. PubMed ID: 31416550
[TBL] [Abstract][Full Text] [Related]
16. Computer-aided Diagnosis of Melanoma: A Review of Existing Knowledge and Strategies.
Maiti A; Chatterjee B; Ashour AS; Dey N
Curr Med Imaging; 2020; 16(7):835-854. PubMed ID: 33059554
[TBL] [Abstract][Full Text] [Related]
17. Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM).
R D S; A S
Asian Pac J Cancer Prev; 2019 May; 20(5):1555-1561. PubMed ID: 31128062
[TBL] [Abstract][Full Text] [Related]
18. Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images.
Kaur R; GholamHosseini H; Sinha R; Lindén M
BMC Med Imaging; 2022 May; 22(1):103. PubMed ID: 35644612
[TBL] [Abstract][Full Text] [Related]
19. A Review of Computer-Aided Expert Systems for Breast Cancer Diagnosis.
Liew XY; Hameed N; Clos J
Cancers (Basel); 2021 Jun; 13(11):. PubMed ID: 34199444
[TBL] [Abstract][Full Text] [Related]
20. SkinNet-16: A deep learning approach to identify benign and malignant skin lesions.
Ghosh P; Azam S; Quadir R; Karim A; Shamrat FMJM; Bhowmik SK; Jonkman M; Hasib KM; Ahmed K
Front Oncol; 2022; 12():931141. PubMed ID: 36003775
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]