Výsledky vyhledávání - "Hanna Piotrzkowska-Wroblewska"

Explaining a Deep Learning Based Breast Ultrasound Image Classifier with Saliency Maps

Autor: Michał, Byra, Katarzyna, Dobruch-Sobczak, Hanna, Piotrzkowska-Wroblewska, Ziemowit, Klimonda, Jerzy, Litniewski

Publikováno v: Journal of ultrasonography. 22(89)

Deep neural networks have achieved good performance in breast mass classification in ultrasound imaging. However, their usage in clinical practice is still limited due to the lack of explainability of decisions conducted by the networks. In this stud

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::a32f0bc5f144c37e42622a20e82785a0
https://pubmed.ncbi.nlm.nih.gov/35811586

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Monitoring the response to neoadjuvant chemotherapy in patients with breast cancer using ultrasound scattering coefficient: A preliminary report

Autor: Piotr Karwat, Wojciech Secomski, Ziemowit Klimoda, Katarzyna Roszkowska-Purska, Hanna Piotrzkowska-Wroblewska, Katarzyna Dobruch-Sobczak, Ewa Markiewicz-Grodzicka, Agnieszka Kolasińska-Ćwikła, Jerzy Litniewski

Publikováno v: Journal of Ultrasonography, Vol 19, Iss 77, Pp 89-97 (2019)
Journal of Ultrasonography

Objective: Neoadjuvant chemotherapy was initially used in locally advanced breast cancer, and currently it is recommended for patients with Stage 3 and with early-stage disease with human epidermal growth factor receptors positive or triple-negative

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c897ed1511f426ed0e77579e96cbfd85
https://doi.org/10.15557/jou.2019.0013

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Breast-lesions characterization using Quantitative Ultrasound features of peritumoral tissue

Autor: Ziemowit Klimonda, Jerzy Litniewski, Hanna Piotrzkowska-Wroblewska, Katarzyna Dobruch-Sobczak, Piotr Karwat

Publikováno v: Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Scientific Reports

The presented studies evaluate for the first time the efficiency of tumour classification based on the quantitative analysis of ultrasound data originating from the tissue surrounding the tumour. 116 patients took part in the study after qualifying f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abde430bc2831ba3bbfed3517522a92d
http://link.springer.com/article/10.1038/s41598-019-44376-z

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Joint segmentation and classification of breast masses based on ultrasound radio-frequency data and convolutional neural networks

Autor: Michal Byra, Piotr Jarosik, Katarzyna Dobruch-Sobczak, Ziemowit Klimonda, Hanna Piotrzkowska-Wroblewska, Jerzy Litniewski, Andrzej Nowicki

Publikováno v: Ultrasonics. 121

In this paper, we propose a novel deep learning method for joint classification and segmentation of breast masses based on radio-frequency (RF) ultrasound (US) data. In comparison to commonly used classification and segmentation techniques, utilizing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4588ce479e75c4044cd8f0e02f001378
https://pubmed.ncbi.nlm.nih.gov/35065458

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Early Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer Sonography Using Siamese Convolutional Neural Networks

Autor: Ziemowit Klimonda, Michal Byra, Jerzy Litniewski, Hanna Piotrzkowska-Wroblewska, Katarzyna Dobruch-Sobczak

Publikováno v: IEEE journal of biomedical and health informatics. 25(3)

Early prediction of response to neoadjuvant chemotherapy (NAC) in breast cancer is crucial for guiding therapy decisions. In this work, we propose a deep learning based approach for the early NAC response prediction in ultrasound (US) imaging. We use

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0ed256a2f6a143e44034c4496cc5a06
https://pubmed.ncbi.nlm.nih.gov/32749986

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Quantitative Assessment of the Echogenicity of a Breast Tumor Predicts the Response to Neoadjuvant Chemotherapy

Autor: Piotr Karwat, Ziemowit Klimonda, Jerzy Litniewski, Ewa Markiewicz-Grodzicka, Hanna Piotrzkowska-Wroblewska, Katarzyna Dobruch-Sobczak

Publikováno v: Cancers, Vol 13, Iss 3546, p 3546 (2021)
Cancers
Volume 13
Issue 14

Simple Summary B-mode US is a widely available, inexpensive, and non-invasive technique. This method is used in monitoring the neoadjuvant chemotherapy (NAC) in breast cancer (BC). In the presented study we combined the result from B-mode ultrasound

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9db9f3469e5b6b7c3ebcd01ccbd236c4
https://doi.org/10.3390/cancers13143546

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Open access database of raw ultrasonic signals acquired from malignant and benign breast lesions

Autor: Michal Byra, Hanna Piotrzkowska-Wroblewska, Katarzyna Dobruch-Sobczak, Andrzej Nowicki

Publikováno v: Medical Physics. 44:6105-6109

Purpose The aim of this paper is to provide access to a database consisting of the raw radio-frequency ultrasonic echoes acquired from malignant and benign breast lesions. The database is freely available for study and signal analysis. Acquisition an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6a8305a971bc6b452c87397da6fa91e
https://doi.org/10.1002/mp.12538

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