172 related articles for article (PubMed ID: 36001984)
1. Prediction of response to neoadjuvant chemotherapy in breast cancer with recurrent neural networks and raw ultrasound signals.
Byra M; Dobruch-Sobczak K; Piotrzkowska-Wroblewska H; Klimonda Z; Litniewski J
Phys Med Biol; 2022 Sep; 67(18):. PubMed ID: 36001984
[No Abstract] [Full Text] [Related]
2. Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks.
Byra M; Dobruch-Sobczak K; Klimonda Z; Piotrzkowska-Wroblewska H; Litniewski J
IEEE J Biomed Health Inform; 2021 Mar; 25(3):797-805. PubMed ID: 32749986
[TBL] [Abstract][Full Text] [Related]
3. Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.
Yu FH; Miao SM; Li CY; Hang J; Deng J; Ye XH; Liu Y
Eur Radiol; 2023 Aug; 33(8):5634-5644. PubMed ID: 36976336
[TBL] [Abstract][Full Text] [Related]
4. Joint segmentation and classification of breast masses based on ultrasound radio-frequency data and convolutional neural networks.
Byra M; Jarosik P; Dobruch-Sobczak K; Klimonda Z; Piotrzkowska-Wroblewska H; Litniewski J; Nowicki A
Ultrasonics; 2022 Apr; 121():106682. PubMed ID: 35065458
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Classification of Breast Masses on Ultrasound Shear Wave Elastography using Convolutional Neural Networks.
Fujioka T; Katsuta L; Kubota K; Mori M; Kikuchi Y; Kato A; Oda G; Nakagawa T; Kitazume Y; Tateishi U
Ultrason Imaging; 2020; 42(4-5):213-220. PubMed ID: 32501152
[TBL] [Abstract][Full Text] [Related]
7. Deep Learning for Differentiation of Breast Masses Detected by Screening Ultrasound Elastography.
Fukuda T; Tsunoda H; Yagishita K; Naganawa S; Hayashi K; Kurihara Y
Ultrasound Med Biol; 2023 Apr; 49(4):989-995. PubMed ID: 36681608
[TBL] [Abstract][Full Text] [Related]
8. New Explainable Deep CNN Design for Classifying Breast Tumor Response Over Neoadjuvant Chemotherapy.
Adoui ME; Drisis S; Benjelloun M
Curr Med Imaging; 2022; 19(5):526-533. PubMed ID: 36529908
[TBL] [Abstract][Full Text] [Related]
9. Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.
El Adoui M; Drisis S; Benjelloun M
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1491-1500. PubMed ID: 32556920
[TBL] [Abstract][Full Text] [Related]
10. A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network.
Qian X; Zhang B; Liu S; Wang Y; Chen X; Liu J; Yang Y; Chen X; Wei Y; Xiao Q; Ma J; Shung KK; Zhou Q; Liu L; Chen Z
Eur Radiol; 2020 May; 30(5):3023-3033. PubMed ID: 32006174
[TBL] [Abstract][Full Text] [Related]
11. Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.
Ha R; Chin C; Karcich J; Liu MZ; Chang P; Mutasa S; Pascual Van Sant E; Wynn RT; Connolly E; Jambawalikar S
J Digit Imaging; 2019 Oct; 32(5):693-701. PubMed ID: 30361936
[TBL] [Abstract][Full Text] [Related]
12. Dual-Branch Convolutional Neural Network Based on Ultrasound Imaging in the Early Prediction of Neoadjuvant Chemotherapy Response in Patients With Locally Advanced Breast Cancer.
Xie J; Shi H; Du C; Song X; Wei J; Dong Q; Wan C
Front Oncol; 2022; 12():812463. PubMed ID: 35463368
[TBL] [Abstract][Full Text] [Related]
13. Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.
Fujioka T; Kubota K; Mori M; Kikuchi Y; Katsuta L; Kasahara M; Oda G; Ishiba T; Nakagawa T; Tateishi U
Jpn J Radiol; 2019 Jun; 37(6):466-472. PubMed ID: 30888570
[TBL] [Abstract][Full Text] [Related]
14. Delta Radiomics Based on Longitudinal Dual-modal Ultrasound Can Early Predict Response to Neoadjuvant Chemotherapy in Breast Cancer Patients.
Huang JX; Wu L; Wang XY; Lin SY; Xu YF; Wei MJ; Pei XQ
Acad Radiol; 2024 May; 31(5):1738-1747. PubMed ID: 38057180
[TBL] [Abstract][Full Text] [Related]
15. Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method.
Qu YH; Zhu HT; Cao K; Li XT; Ye M; Sun YS
Thorac Cancer; 2020 Mar; 11(3):651-658. PubMed ID: 31944571
[TBL] [Abstract][Full Text] [Related]
16. Thyroid nodule recognition using a joint convolutional neural network with information fusion of ultrasound images and radiofrequency data.
Liu Z; Zhong S; Liu Q; Xie C; Dai Y; Peng C; Chen X; Zou R
Eur Radiol; 2021 Jul; 31(7):5001-5011. PubMed ID: 33409774
[TBL] [Abstract][Full Text] [Related]
17. Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study.
Gu J; Tong T; He C; Xu M; Yang X; Tian J; Jiang T; Wang K
Eur Radiol; 2022 Mar; 32(3):2099-2109. PubMed ID: 34654965
[TBL] [Abstract][Full Text] [Related]
18. Monitoring breast cancer response to neoadjuvant chemotherapy with ultrasound signal statistics and integrated backscatter.
Piotrzkowska-Wróblewska H; Dobruch-Sobczak K; Klimonda Z; Karwat P; Roszkowska-Purska K; Gumowska M; Litniewski J
PLoS One; 2019; 14(3):e0213749. PubMed ID: 30870478
[TBL] [Abstract][Full Text] [Related]
19. Gray-to-color image conversion in the classification of breast lesions on ultrasound using pre-trained deep neural networks.
Gómez-Flores W; Pereira WCA
Med Biol Eng Comput; 2023 Dec; 61(12):3193-3207. PubMed ID: 37713158
[TBL] [Abstract][Full Text] [Related]
20. Deep learning of quantitative ultrasound multi-parametric images at pre-treatment to predict breast cancer response to chemotherapy.
Taleghamar H; Jalalifar SA; Czarnota GJ; Sadeghi-Naini A
Sci Rep; 2022 Feb; 12(1):2244. PubMed ID: 35145158
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]