107 related articles for article (PubMed ID: 36318553)
1. Classification of Cervical Precursor Lesions via Local Histogram and Cell Morphometric Features.
Calik N; Albayrak A; Akhan A; Turkmen I; Capar A; Toreyin BU; Bilgin G; Muezzinoglu B; Durak-Ata L
IEEE J Biomed Health Inform; 2023 Apr; 27(4):1747-1757. PubMed ID: 36318553
[TBL] [Abstract][Full Text] [Related]
2. AF-SENet: Classification of Cancer in Cervical Tissue Pathological Images Based on Fusing Deep Convolution Features.
Huang P; Tan X; Chen C; Lv X; Li Y
Sensors (Basel); 2020 Dec; 21(1):. PubMed ID: 33375508
[TBL] [Abstract][Full Text] [Related]
3. HistoEM: A Pathologist-Guided and Explainable Workflow Using Histogram Embedding for Gland Classification.
Ferrero A; Ghelichkhan E; Manoochehri H; Ho MM; Albertson DJ; Brintz BJ; Tasdizen T; Whitaker RT; Knudsen BS
Mod Pathol; 2024 Apr; 37(4):100447. PubMed ID: 38369187
[TBL] [Abstract][Full Text] [Related]
4. Cervical cell classification with graph convolutional network.
Shi J; Wang R; Zheng Y; Jiang Z; Zhang H; Yu L
Comput Methods Programs Biomed; 2021 Jan; 198():105807. PubMed ID: 33130497
[TBL] [Abstract][Full Text] [Related]
5. fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations.
Vu H; Kim HC; Jung M; Lee JH
Neuroimage; 2020 Dec; 223():117328. PubMed ID: 32896633
[TBL] [Abstract][Full Text] [Related]
6. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
Lee HS; Hong H; Jung DC; Park S; Kim J
Med Phys; 2017 Jul; 44(7):3604-3614. PubMed ID: 28376281
[TBL] [Abstract][Full Text] [Related]
7. A whole-slide image grading benchmark and tissue classification for cervical cancer precursor lesions with inter-observer variability.
Albayrak A; Akhan AU; Calik N; Capar A; Bilgin G; Toreyin BU; Muezzinoglu B; Turkmen I; Durak-Ata L
Med Biol Eng Comput; 2021 Aug; 59(7-8):1545-1561. PubMed ID: 34245400
[TBL] [Abstract][Full Text] [Related]
8. Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion.
George K; Faziludeen S; Sankaran P; Joseph K P
Comput Biol Med; 2020 Sep; 124():103954. PubMed ID: 32777599
[TBL] [Abstract][Full Text] [Related]
9. A CNN model embedded with local feature knowledge and its application to time-varying signal classification.
Yang R; Zha X; Liu K; Xu S
Neural Netw; 2021 Oct; 142():564-572. PubMed ID: 34343780
[TBL] [Abstract][Full Text] [Related]
10. Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.
Wang Y; Choi EJ; Choi Y; Zhang H; Jin GY; Ko SB
Ultrasound Med Biol; 2020 May; 46(5):1119-1132. PubMed ID: 32059918
[TBL] [Abstract][Full Text] [Related]
11. Multi-feature based Benchmark for Cervical Dysplasia Classification Evaluation.
Xu T; Zhang H; Xin C; Kim E; Long LR; Xue Z; Antani S; Huang X
Pattern Recognit; 2017 Mar; 63():468-475. PubMed ID: 28603299
[TBL] [Abstract][Full Text] [Related]
12. Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems.
Duran-Lopez L; Dominguez-Morales JP; Gutierrez-Galan D; Rios-Navarro A; Jimenez-Fernandez A; Vicente-Diaz S; Linares-Barranco A
Comput Biol Med; 2021 Sep; 136():104743. PubMed ID: 34426172
[TBL] [Abstract][Full Text] [Related]
13. Computer assisted recognition of breast cancer in biopsy images via fusion of nucleus-guided deep convolutional features.
George K; Sankaran P; K PJ
Comput Methods Programs Biomed; 2020 Oct; 194():105531. PubMed ID: 32422473
[TBL] [Abstract][Full Text] [Related]
14. Cervical cell classification with deep-learning algorithms.
Xu L; Cai F; Fu Y; Liu Q
Med Biol Eng Comput; 2023 Mar; 61(3):821-833. PubMed ID: 36626113
[TBL] [Abstract][Full Text] [Related]
15. H-CNN combined with tissue Raman spectroscopy for cervical cancer detection.
Kang Z; Li Y; Liu J; Chen C; Wu W; Chen C; Lv X; Liang F
Spectrochim Acta A Mol Biomol Spectrosc; 2023 Apr; 291():122339. PubMed ID: 36641920
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. DeepCIN: Attention-Based Cervical histology Image Classification with Sequential Feature Modeling for Pathologist-Level Accuracy.
Sornapudi S; Stanley RJ; Stoecker WV; Long R; Xue Z; Zuna R; Frazier SR; Antani S
J Pathol Inform; 2020; 11():40. PubMed ID: 33828898
[TBL] [Abstract][Full Text] [Related]
18. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features.
Xu Y; Jia Z; Wang LB; Ai Y; Zhang F; Lai M; Chang EI
BMC Bioinformatics; 2017 May; 18(1):281. PubMed ID: 28549410
[TBL] [Abstract][Full Text] [Related]
19. Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network.
Kilicarslan S; Adem K; Celik M
Med Hypotheses; 2020 Apr; 137():109577. PubMed ID: 31991364
[TBL] [Abstract][Full Text] [Related]
20. DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma.
Huang H; Xie Y; Wang G; Zhang L; Zhou W
Comput Methods Programs Biomed; 2022 Dec; 227():107201. PubMed ID: 36335751
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]