These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
146 related articles for article (PubMed ID: 35339096)
1. DRDA-Net: Dense residual dual-shuffle attention network for breast cancer classification using histopathological images. Chattopadhyay S; Dey A; Singh PK; Sarkar R Comput Biol Med; 2022 Jun; 145():105437. PubMed ID: 35339096 [TBL] [Abstract][Full Text] [Related]
2. MTRRE-Net: A deep learning model for detection of breast cancer from histopathological images. Chattopadhyay S; Dey A; Singh PK; Oliva D; Cuevas E; Sarkar R Comput Biol Med; 2022 Nov; 150():106155. PubMed ID: 36240595 [TBL] [Abstract][Full Text] [Related]
3. Feature Generalization for Breast Cancer Detection in Histopathological Images. Das R; Kaur K; Walia E Interdiscip Sci; 2022 Jun; 14(2):566-581. PubMed ID: 35482216 [TBL] [Abstract][Full Text] [Related]
4. DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images. Pramanik P; Roy A; Cuevas E; Perez-Cisneros M; Sarkar R PLoS One; 2024; 19(5):e0303670. PubMed ID: 38820462 [TBL] [Abstract][Full Text] [Related]
5. BCHisto-Net: Breast histopathological image classification by global and local feature aggregation. R R; Prasad K; Udupa CBK Artif Intell Med; 2021 Nov; 121():102191. PubMed ID: 34763806 [TBL] [Abstract][Full Text] [Related]
6. Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images-a Comparative Insight. Sharma S; Mehra R J Digit Imaging; 2020 Jun; 33(3):632-654. PubMed ID: 31900812 [TBL] [Abstract][Full Text] [Related]
7. Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning. Aljuaid H; Alturki N; Alsubaie N; Cavallaro L; Liotta A Comput Methods Programs Biomed; 2022 Aug; 223():106951. PubMed ID: 35767911 [TBL] [Abstract][Full Text] [Related]
8. Breast Tumor Tissue Image Classification Using DIU-Net. Lee JS; Wu WK Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560207 [TBL] [Abstract][Full Text] [Related]
9. A High-Precision Classification Method of Mammary Cancer Based on Improved DenseNet Driven by an Attention Mechanism. Xu X; An M; Zhang J; Liu W; Lu L Comput Math Methods Med; 2022; 2022():8585036. PubMed ID: 35607649 [TBL] [Abstract][Full Text] [Related]
10. VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset. Saini M; Susan S IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):752-762. PubMed ID: 35349449 [TBL] [Abstract][Full Text] [Related]
11. Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images. Alirezazadeh P; Dornaika F Comput Biol Med; 2023 Nov; 166():107528. PubMed ID: 37774559 [TBL] [Abstract][Full Text] [Related]
12. NucleiSegNet: Robust deep learning architecture for the nuclei segmentation of liver cancer histopathology images. Lal S; Das D; Alabhya K; Kanfade A; Kumar A; Kini J Comput Biol Med; 2021 Jan; 128():104075. PubMed ID: 33190012 [TBL] [Abstract][Full Text] [Related]
13. Overcoming limitation of dissociation between MD and MI classifications of breast cancer histopathological images through a novel decomposed feature-based knowledge distillation method. Sepahvand M; Abdali-Mohammadi F Comput Biol Med; 2022 Jun; 145():105413. PubMed ID: 35325731 [TBL] [Abstract][Full Text] [Related]
14. Breast cancer histopathological images classification based on deep semantic features and gray level co-occurrence matrix. Hao Y; Zhang L; Qiao S; Bai Y; Cheng R; Xue H; Hou Y; Zhang W; Zhang G PLoS One; 2022; 17(5):e0267955. PubMed ID: 35511877 [TBL] [Abstract][Full Text] [Related]
15. Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning. Abunasser BS; Al-Hiealy MRJ; Zaqout IS; Abu-Naser SS Asian Pac J Cancer Prev; 2023 Feb; 24(2):531-544. PubMed ID: 36853302 [TBL] [Abstract][Full Text] [Related]
16. Attention-Based Deep Learning Approach for Breast Cancer Histopathological Image Multi-Classification. Aldakhil LA; Alhasson HF; Alharbi SS Diagnostics (Basel); 2024 Jul; 14(13):. PubMed ID: 39001292 [TBL] [Abstract][Full Text] [Related]
17. A Deep Learning Method for Breast Cancer Classification in the Pathology Images. Liu M; Hu L; Tang Y; Wang C; He Y; Zeng C; Lin K; He Z; Huo W IEEE J Biomed Health Inform; 2022 Oct; 26(10):5025-5032. PubMed ID: 35776828 [TBL] [Abstract][Full Text] [Related]
18. Conventional Machine Learning versus Deep Learning for Magnification Dependent Histopathological Breast Cancer Image Classification: A Comparative Study with Visual Explanation. Boumaraf S; Liu X; Wan Y; Zheng Z; Ferkous C; Ma X; Li Z; Bardou D Diagnostics (Basel); 2021 Mar; 11(3):. PubMed ID: 33809611 [TBL] [Abstract][Full Text] [Related]
19. Dilated and soft attention-guided convolutional neural network for breast cancer histology images classification. Zhong Y; Piao Y; Zhang G Microsc Res Tech; 2022 Apr; 85(4):1248-1257. PubMed ID: 34859543 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]