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.
116 related articles for article (PubMed ID: 37983160)
1. DCNNLFS: A Dilated Convolutional Neural Network With Late Fusion Strategy for Intelligent Classification of Gastric Histopathology Images. Huang J; Saw SN; He T; Yang R; Qin Y; Chen Y; Kiong LC IEEE J Biomed Health Inform; 2024 Aug; 28(8):4534-4543. PubMed ID: 37983160 [TBL] [Abstract][Full Text] [Related]
2. Gastric Pathology Image Classification Using Stepwise Fine-Tuning for Deep Neural Networks. Qu J; Hiruta N; Terai K; Nosato H; Murakawa M; Sakanashi H J Healthc Eng; 2018; 2018():8961781. PubMed ID: 30034677 [TBL] [Abstract][Full Text] [Related]
3. Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network. Cho BJ; Bang CS; Park SW; Yang YJ; Seo SI; Lim H; Shin WG; Hong JT; Yoo YT; Hong SH; Choi JH; Lee JJ; Baik GH Endoscopy; 2019 Dec; 51(12):1121-1129. PubMed ID: 31443108 [TBL] [Abstract][Full Text] [Related]
4. Application of high resolution computed tomography image assisted classification model of middle ear diseases based on 3D-convolutional neural network. Su R; Song J; Wang Z; Mao S; Mao Y; Wu X; Hou M Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2022 Aug; 47(8):1037-1048. PubMed ID: 36097771 [TBL] [Abstract][Full Text] [Related]
5. Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours. Iizuka O; Kanavati F; Kato K; Rambeau M; Arihiro K; Tsuneki M Sci Rep; 2020 Jan; 10(1):1504. PubMed ID: 32001752 [TBL] [Abstract][Full Text] [Related]
6. GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer. Hu W; Li C; Li X; Rahaman MM; Ma J; Zhang Y; Chen H; Liu W; Sun C; Yao Y; Sun H; Grzegorzek M Comput Biol Med; 2022 Mar; 142():105207. PubMed ID: 35016101 [TBL] [Abstract][Full Text] [Related]
7. Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology. Sharma H; Zerbe N; Klempert I; Hellwich O; Hufnagl P Comput Med Imaging Graph; 2017 Nov; 61():2-13. PubMed ID: 28676295 [TBL] [Abstract][Full Text] [Related]
8. 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]
10. VENet: Variational energy network for gland segmentation of pathological images and early gastric cancer diagnosis of whole slide images. Zhang S; Yuan Z; Zhou X; Wang H; Chen B; Wang Y Comput Methods Programs Biomed; 2024 Jun; 250():108178. PubMed ID: 38652995 [TBL] [Abstract][Full Text] [Related]
11. Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks. Moon WK; Lee YW; Ke HH; Lee SH; Huang CS; Chang RF Comput Methods Programs Biomed; 2020 Jul; 190():105361. PubMed ID: 32007839 [TBL] [Abstract][Full Text] [Related]
12. An Intelligent Diagnosis Method of Brain MRI Tumor Segmentation Using Deep Convolutional Neural Network and SVM Algorithm. Wu W; Li D; Du J; Gao X; Gu W; Zhao F; Feng X; Yan H Comput Math Methods Med; 2020; 2020():6789306. PubMed ID: 32733596 [TBL] [Abstract][Full Text] [Related]
13. StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images. Fu B; Zhang M; He J; Cao Y; Guo Y; Wang R Comput Methods Programs Biomed; 2022 Jun; 221():106924. PubMed ID: 35671603 [TBL] [Abstract][Full Text] [Related]
14. Medical Image Retrieval Using Empirical Mode Decomposition with Deep Convolutional Neural Network. Zhang S; Zhi L; Zhou T Biomed Res Int; 2020; 2020():6687733. PubMed ID: 33426062 [TBL] [Abstract][Full Text] [Related]
15. A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development. Ai S; Li C; Li X; Jiang T; Grzegorzek M; Sun C; Rahaman MM; Zhang J; Yao Y; Li H Biomed Res Int; 2021; 2021():6671417. PubMed ID: 34258279 [TBL] [Abstract][Full Text] [Related]
16. LiverNet: efficient and robust deep learning model for automatic diagnosis of sub-types of liver hepatocellular carcinoma cancer from H&E stained liver histopathology images. Aatresh AA; Alabhya K; Lal S; Kini J; Saxena PUP Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1549-1563. PubMed ID: 34053009 [TBL] [Abstract][Full Text] [Related]
17. Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning. Attallah O Comput Biol Med; 2024 Aug; 178():108798. PubMed ID: 38925085 [TBL] [Abstract][Full Text] [Related]
18. Classification of precancerous lesions based on fusion of multiple hierarchical features. Zhou H; Liu Z; Li T; Chen Y; Huang W; Zhang Z Comput Methods Programs Biomed; 2023 Feb; 229():107301. PubMed ID: 36516661 [TBL] [Abstract][Full Text] [Related]
19. Multibranch CNN With MLP-Mixer-Based Feature Exploration for High-Performance Disease Diagnosis. Zhou Z; Islam MT; Xing L IEEE Trans Neural Netw Learn Syst; 2024 Jun; 35(6):7351-7362. PubMed ID: 37028335 [TBL] [Abstract][Full Text] [Related]
20. Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms. Alsaade FW; Aldhyani THH; Al-Adhaileh MH Comput Math Methods Med; 2021; 2021():9998379. PubMed ID: 34055044 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]