194 related articles for article (PubMed ID: 36329004)
1. Exploring uncertainty measures in convolutional neural network for semantic segmentation of oral cancer images.
Song B; Li S; Sunny S; Gurushanth K; Mendonca P; Mukhia N; Patrick S; Peterson T; Gurudath S; Raghavan S; Tsusennaro I; Leivon S; Kolur T; Shetty V; Bushan V; Ramesh R; Pillai V; Wilder-Smith P; Suresh A; Kuriakose MA; Birur P; Liang R
J Biomed Opt; 2022 Nov; 27(11):. PubMed ID: 36329004
[TBL] [Abstract][Full Text] [Related]
2. Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning.
Gudhe NR; Kosma VM; Behravan H; Mannermaa A
BMC Med Imaging; 2023 Oct; 23(1):162. PubMed ID: 37858043
[TBL] [Abstract][Full Text] [Related]
3. A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks.
Yang C; Guo H
Comput Intell Neurosci; 2022; 2022():5339664. PubMed ID: 36110913
[TBL] [Abstract][Full Text] [Related]
4. Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.
Ng M; Guo F; Biswas L; Petersen SE; Piechnik SK; Neubauer S; Wright G
IEEE Trans Biomed Eng; 2023 Jun; 70(6):1955-1966. PubMed ID: 37015623
[TBL] [Abstract][Full Text] [Related]
5. Depth Density Achieves a Better Result for Semantic Segmentation with the Kinect System.
Deng H; Xu T; Zhou Y; Miao T
Sensors (Basel); 2020 Feb; 20(3):. PubMed ID: 32028625
[TBL] [Abstract][Full Text] [Related]
6. Semantic segmentation of human oocyte images using deep neural networks.
Targosz A; Przystałka P; Wiaderkiewicz R; Mrugacz G
Biomed Eng Online; 2021 Apr; 20(1):40. PubMed ID: 33892725
[TBL] [Abstract][Full Text] [Related]
7. Robust Blood Cell Image Segmentation Method Based on Neural Ordinary Differential Equations.
Li D; Tang P; Zhang R; Sun C; Li Y; Qian J; Liang Y; Yang J; Zhang L
Comput Math Methods Med; 2021; 2021():5590180. PubMed ID: 34413897
[TBL] [Abstract][Full Text] [Related]
8. Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks.
Wang G; Li W; Aertsen M; Deprest J; Ourselin S; Vercauteren T
Neurocomputing (Amst); 2019 Sep; 335():34-45. PubMed ID: 31595105
[TBL] [Abstract][Full Text] [Related]
9. ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning.
Rączkowska A; Możejko M; Zambonelli J; Szczurek E
Sci Rep; 2019 Oct; 9(1):14347. PubMed ID: 31586139
[TBL] [Abstract][Full Text] [Related]
10. Uncertainty quantification in multi-class segmentation: Comparison between Bayesian and non-Bayesian approaches in a clinical perspective.
Scalco E; Pozzi S; Rizzo G; Lanzarone E
Med Phys; 2024 May; ():. PubMed ID: 38808956
[TBL] [Abstract][Full Text] [Related]
11. Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation.
Li H; Nan Y; Del Ser J; Yang G
Neural Comput Appl; 2023; 35(30):22071-22085. PubMed ID: 37724130
[TBL] [Abstract][Full Text] [Related]
12. A deep learning segmentation strategy that minimizes the amount of manually annotated images.
Pécot T; Alekseyenko A; Wallace K
F1000Res; 2021; 10():256. PubMed ID: 35136569
[TBL] [Abstract][Full Text] [Related]
13. Deep neural network uncertainty estimation for early oral cancer diagnosis.
Lin H; Chen H; Lin J
J Oral Pathol Med; 2024 May; 53(5):294-302. PubMed ID: 38632703
[TBL] [Abstract][Full Text] [Related]
14. FBCU-Net: A fine-grained context modeling network using boundary semantic features for medical image segmentation.
Yu M; Pei K; Li X; Wei X; Wang C; Gao J
Comput Biol Med; 2022 Nov; 150():106161. PubMed ID: 36240598
[TBL] [Abstract][Full Text] [Related]
15. Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios.
Bargagna F; De Santi LA; Martini N; Genovesi D; Favilli B; Vergaro G; Emdin M; Giorgetti A; Positano V; Santarelli MF
J Digit Imaging; 2023 Dec; 36(6):2567-2577. PubMed ID: 37787869
[TBL] [Abstract][Full Text] [Related]
16. Clinical assessment of deep learning-based uncertainty maps in lung cancer segmentation.
Maruccio FC; Eppinga W; Laves MH; Navarro RF; Salvi M; Molinari F; Papaconstadopoulos P
Phys Med Biol; 2024 Jan; 69(3):. PubMed ID: 38171012
[No Abstract] [Full Text] [Related]
17. Optimisation and Calibration of Bayesian Neural Network for Probabilistic Prediction of Biogas Performance in an Anaerobic Lagoon.
Vien BS; Kuen T; Rose LRF; Chiu WK
Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676155
[TBL] [Abstract][Full Text] [Related]
18. InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography.
Nam B; Bark B; Lee J; Kim IY
BMC Med Inform Decis Mak; 2024 Feb; 24(1):50. PubMed ID: 38355559
[TBL] [Abstract][Full Text] [Related]
19. Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification.
Yildirim B; Cole JM
J Chem Inf Model; 2021 Mar; 61(3):1136-1149. PubMed ID: 33682402
[TBL] [Abstract][Full Text] [Related]
20. Effectiveness of convolutional neural networks in the interpretation of pulmonary cytologic images in endobronchial ultrasound procedures.
Lin CK; Chang J; Huang CC; Wen YF; Ho CC; Cheng YC
Cancer Med; 2021 Dec; 10(24):9047-9057. PubMed ID: 34725953
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]