113 related articles for article (PubMed ID: 38052609)
1. Colon histology slide classification with deep-learning framework using individual and fused features.
Rajinikanth V; Kadry S; Mohan R; Rama A; Khan MA; Kim J
Math Biosci Eng; 2023 Oct; 20(11):19454-19467. PubMed ID: 38052609
[TBL] [Abstract][Full Text] [Related]
2. A framework to distinguish healthy/cancer renal CT images using the fused deep features.
Rajinikanth V; Vincent PMDR; Srinivasan K; Ananth Prabhu G; Chang CY
Front Public Health; 2023; 11():1109236. PubMed ID: 36794074
[TBL] [Abstract][Full Text] [Related]
3. Tuberculosis detection in chest X-ray using Mayfly-algorithm optimized dual-deep-learning features.
Rajakumar MP; Sonia R; Uma Maheswari B; Karuppiah SP
J Xray Sci Technol; 2021; 29(6):961-974. PubMed ID: 34459432
[TBL] [Abstract][Full Text] [Related]
4. Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.
Lee H; Hong H; Kim J; Jung DC
Med Phys; 2018 Apr; 45(4):1550-1561. PubMed ID: 29474742
[TBL] [Abstract][Full Text] [Related]
5. Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features.
Qaiser T; Tsang YW; Taniyama D; Sakamoto N; Nakane K; Epstein D; Rajpoot N
Med Image Anal; 2019 Jul; 55():1-14. PubMed ID: 30991188
[TBL] [Abstract][Full Text] [Related]
6. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
[TBL] [Abstract][Full Text] [Related]
7. Deep learning can predict lymph node status directly from histology in colorectal cancer.
Kiehl L; Kuntz S; Höhn J; Jutzi T; Krieghoff-Henning E; Kather JN; Holland-Letz T; Kopp-Schneider A; Chang-Claude J; Brobeil A; von Kalle C; Fröhling S; Alwers E; Brenner H; Hoffmeister M; Brinker TJ
Eur J Cancer; 2021 Nov; 157():464-473. PubMed ID: 34649117
[TBL] [Abstract][Full Text] [Related]
8. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
P B S; Faruqi F; K S H; Kudva R
Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
[TBL] [Abstract][Full Text] [Related]
9. Deep Learning for Alzheimer's Disease Classification using Texture Features.
So JH; Madusanka N; Choi HK; Choi BK; Park HG
Curr Med Imaging Rev; 2019; 15(7):689-698. PubMed ID: 32008517
[TBL] [Abstract][Full Text] [Related]
10. A novel deep learning-based algorithm combining histopathological features with tissue areas to predict colorectal cancer survival from whole-slide images.
Li YJ; Chou HH; Lin PC; Shen MR; Hsieh SY
J Transl Med; 2023 Oct; 21(1):731. PubMed ID: 37848862
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Machine Learning Analysis of RNA-seq Data for Diagnostic and Prognostic Prediction of Colon Cancer.
Bostanci E; Kocak E; Unal M; Guzel MS; Acici K; Asuroglu T
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991790
[TBL] [Abstract][Full Text] [Related]
13. The role of unpaired image-to-image translation for stain color normalization in colorectal cancer histology classification.
Altini N; Marvulli TM; Zito FA; Caputo M; Tommasi S; Azzariti A; Brunetti A; Prencipe B; Mattioli E; De Summa S; Bevilacqua V
Comput Methods Programs Biomed; 2023 Jun; 234():107511. PubMed ID: 37011426
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes.
Esteban ÁE; López-Pérez M; Colomer A; Sales MA; Molina R; Naranjo V
Comput Methods Programs Biomed; 2019 Sep; 178():303-317. PubMed ID: 31416557
[TBL] [Abstract][Full Text] [Related]
16. Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches.
Shen Y; Ke J
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2431-2441. PubMed ID: 33630739
[TBL] [Abstract][Full Text] [Related]
17. Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images.
Fassler DJ; Abousamra S; Gupta R; Chen C; Zhao M; Paredes D; Batool SA; Knudsen BS; Escobar-Hoyos L; Shroyer KR; Samaras D; Kurc T; Saltz J
Diagn Pathol; 2020 Jul; 15(1):100. PubMed ID: 32723384
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare.
Maqsood S; Damaševičius R
Neural Netw; 2023 Mar; 160():238-258. PubMed ID: 36701878
[TBL] [Abstract][Full Text] [Related]
20. A comprehensive review of deep learning in colon cancer.
Pacal I; Karaboga D; Basturk A; Akay B; Nalbantoglu U
Comput Biol Med; 2020 Nov; 126():104003. PubMed ID: 32987202
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]