174 related articles for article (PubMed ID: 32839920)
1. Development of Convolutional Neural Networks to identify bone metastasis for prostate cancer patients in bone scintigraphy.
Papandrianos N; Papageorgiou EI; Anagnostis A
Ann Nucl Med; 2020 Nov; 34(11):824-832. PubMed ID: 32839920
[TBL] [Abstract][Full Text] [Related]
2. Efficient Bone Metastasis Diagnosis in Bone Scintigraphy Using a Fast Convolutional Neural Network Architecture.
Papandrianos N; Papageorgiou E; Anagnostis A; Papageorgiou K
Diagnostics (Basel); 2020 Jul; 10(8):. PubMed ID: 32751433
[TBL] [Abstract][Full Text] [Related]
3. Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application.
Papandrianos N; Papageorgiou E; Anagnostis A; Papageorgiou K
PLoS One; 2020; 15(8):e0237213. PubMed ID: 32797099
[TBL] [Abstract][Full Text] [Related]
4. Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network.
Liu Y; Yang P; Pi Y; Jiang L; Zhong X; Cheng J; Xiang Y; Wei J; Li L; Yi Z; Cai H; Zhao Z
BMC Med Imaging; 2021 Sep; 21(1):131. PubMed ID: 34481459
[TBL] [Abstract][Full Text] [Related]
5. White blood cells detection and classification based on regional convolutional neural networks.
Kutlu H; Avci E; Özyurt F
Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
[TBL] [Abstract][Full Text] [Related]
6. A Lightweight Convolutional Neural Network Architecture Applied for Bone Metastasis Classification in Nuclear Medicine: A Case Study on Prostate Cancer Patients.
Ntakolia C; Diamantis DE; Papandrianos N; Moustakidis S; Papageorgiou EI
Healthcare (Basel); 2020 Nov; 8(4):. PubMed ID: 33217973
[TBL] [Abstract][Full Text] [Related]
7. The utility of a deep learning-based algorithm for bone scintigraphy in patient with prostate cancer.
Aoki Y; Nakayama M; Nomura K; Tomita Y; Nakajima K; Yamashina M; Okizaki A
Ann Nucl Med; 2020 Dec; 34(12):926-931. PubMed ID: 32955663
[TBL] [Abstract][Full Text] [Related]
8. Computer-aided detection of bone metastasis in bone scintigraphy images using parallelepiped classification method.
Elfarra FG; Calin MA; Parasca SV
Ann Nucl Med; 2019 Nov; 33(11):866-874. PubMed ID: 31493203
[TBL] [Abstract][Full Text] [Related]
9. More advantages in detecting bone and soft tissue metastases from prostate cancer using
Pianou NK; Stavrou PZ; Vlontzou E; Rondogianni P; Exarhos DN; Datseris IE
Hell J Nucl Med; 2019; 22(1):6-9. PubMed ID: 30843003
[TBL] [Abstract][Full Text] [Related]
10. Convolutional neural network to predict the local recurrence of giant cell tumor of bone after curettage based on pre-surgery magnetic resonance images.
He Y; Guo J; Ding X; van Ooijen PMA; Zhang Y; Chen A; Oudkerk M; Xie X
Eur Radiol; 2019 Oct; 29(10):5441-5451. PubMed ID: 30859281
[TBL] [Abstract][Full Text] [Related]
11. Deep neural network based artificial intelligence assisted diagnosis of bone scintigraphy for cancer bone metastasis.
Zhao Z; Pi Y; Jiang L; Xiang Y; Wei J; Yang P; Zhang W; Zhong X; Zhou K; Li Y; Li L; Yi Z; Cai H
Sci Rep; 2020 Oct; 10(1):17046. PubMed ID: 33046779
[TBL] [Abstract][Full Text] [Related]
12. Bone scan index: A new biomarker of bone metastasis in patients with prostate cancer.
Nakajima K; Edenbrandt L; Mizokami A
Int J Urol; 2017 Sep; 24(9):668-673. PubMed ID: 28556293
[TBL] [Abstract][Full Text] [Related]
13. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
[TBL] [Abstract][Full Text] [Related]
14. dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis.
Lin Q; Cao C; Li T; Man Z; Cao Y; Wang H
BMC Med Imaging; 2021 Aug; 21(1):122. PubMed ID: 34380441
[TBL] [Abstract][Full Text] [Related]
15. Fully automated analysis for bone scintigraphy with artificial neural network: usefulness of bone scan index (BSI) in breast cancer.
Inaki A; Nakajima K; Wakabayashi H; Mochizuki T; Kinuya S
Ann Nucl Med; 2019 Oct; 33(10):755-765. PubMed ID: 31317398
[TBL] [Abstract][Full Text] [Related]
16. Diagnostic performance of deep learning models for detecting bone metastasis on whole-body bone scan in prostate cancer.
Han S; Oh JS; Lee JJ
Eur J Nucl Med Mol Imaging; 2022 Jan; 49(2):585-595. PubMed ID: 34363089
[TBL] [Abstract][Full Text] [Related]
17. Artificial neural network to predict skeletal metastasis in patients with prostate cancer.
Chiu JS; Wang YF; Su YC; Wei LH; Liao JG; Li YC
J Med Syst; 2009 Apr; 33(2):91-100. PubMed ID: 19397093
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI.
Yang X; Liu C; Wang Z; Yang J; Min HL; Wang L; Cheng KT
Med Image Anal; 2017 Dec; 42():212-227. PubMed ID: 28850876
[TBL] [Abstract][Full Text] [Related]
20. [Usefulness of spatially adaptive noise reduction processing in computer-assisted diagnosis system for bone scintigraphy].
Ichikawa H; Onoguchi M; Okuda K; Kato T; Terabe M; Shimada H
Nihon Hoshasen Gijutsu Gakkai Zasshi; 2014 May; 70(5):461-6. PubMed ID: 24858291
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]