Results 161 to 170 of about 2,109,962 (404)

Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology [PDF]

arXiv, 2018
To alleviate the burden of gathering detailed expert annotations when training deep neural networks, we propose a weakly supervised learning approach to recognize metastases in microscopic images of breast lymph nodes. We describe an alternative training loss which clusters weakly labeled bags in latent space to inform relevance of patch-instances ...
arxiv  

The Antibody Response of Lymph Node Cells Transferred to Tolerant Recipients [PDF]

, 1959
William O. Weigle, Frank J. Dixon
openalex   +1 more source

Prognostic Significance of Serum Vascular Endothelial Growth Factor-C (Serum Vegf-C) and Lymph-Vascular Space Invasion in Early Stage Cervical Cancer [PDF]

, 2018
Background: Management of early stage cervical cancer is still challenging. Several clinical-pathological prognostic factors that are currently used in clinical practice include stage, bulky tumor, stromal deep invasion, differentiation, histology, lymph
Andrijono, A. (Andrijono), Priyanto, H. (Heru)   +1 more
core  

Development of 4T1 breast cancer mouse model system for preclinical carbonic anhydrase IX studies

FEBS Open Bio, EarlyView.
Carbonic anhydrase IX (CAIX) is a well‐recognised therapeutic target and prognostic biomarker in cancer. We developed and characterised a robust murine breast cancer model system that is suitable for CAIX studies in vitro and in vivo—it comprises both CAIX‐positive and CAIX‐negative controls and provides a solid platform for the comprehensive ...
Zane Kalniņa, Ilva Liekniņa, Svetlana Koteloviča, Ramona Petrovska, Gediminas Žvinys, Agne Petrosiute, Asta Zubrienė, Matīss Toms Laugalis, Vendija Skeltona, Juris Jansons, Madara Kreishmane, Edita Čapkauskaitė, Daumantas Matulis, Kaspars Tārs   +13 more
wiley   +1 more source

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source

Meply: A Large-scale Dataset and Baseline Evaluations for Metastatic Perirectal Lymph Node Detection and Segmentation [PDF]

arXiv
Accurate segmentation of metastatic lymph nodes in rectal cancer is crucial for the staging and treatment of rectal cancer. However, existing segmentation approaches face challenges due to the absence of pixel-level annotated datasets tailored for lymph nodes around the rectum.
arxiv  

Dosimetric effect of silicone‐based gel on skin surface during volumetric modulated arc therapy for breast cancer

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aims to quantify and compare the dosimetric effects of varying thicknesses of StrataXRT, a silicone‐based gel, and other topical agents on the skin surface during volumetric modulated arc therapy (VMAT) for breast cancer.
Tenyoh Suzuki, Shingo Ohira, Mami Ogita, Takeshi Ohta, Yuki Nozawa, Masanari Minamitani, Takuya Hayashi, Shigeki Saegusa, Toshikazu Imae, Tsuyoshi Ueyama, Atsuto Katano, Hideomi Yamashita, Weishan Chang, Keiichi Nakagawa   +13 more
wiley   +1 more source

Clinical Study on Prelaryngeal Lymph Node Metastasis in Papillary Thyroid Carcinoma

Cancer Management and Research, 2020
Jin-Xing Gong,1 Jian-Wei Gu,1 Feng Ji,1 Kun Li,1 Qi Zhu,1 Fang-Ying Gu,1 Yan Chen,1 Qing-Hai Ji2 1Department Four of Surgery, Kunshan Hospital of Traditional Chinese Medicine, Kunshan 215300, People’s Republic of China; 2Head & Neck Surgery ...
Gong JX, Gu JW, Ji F, Li K, Zhu Q, Gu FY, Chen Y, Ji QH   +7 more
doaj  

BreastWatch: A Varian Eclipse script tool for Community‐Based automatic evaluation of breast treatment plans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This work introduces BreastWatch, a Varian Eclipse script tool designed to help medical physicists, dosimetrists, and radiation oncologists easily inspect and improve External Beam Breast Treatment (EBBT) plans using automatic evaluation of protocol dose‐constraints enhanced by a Community‐Based approach.
Stefano Agostinelli, Daniele Zefiro, Stefania Garelli, Francesca Cavagnetto, Marco Gusinu, Monica Bevegni, Gladys Blandino, Alessandra Fozza, Fabrizio Levrero   +8 more
wiley   +1 more source

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du, Yongsu Ma, Kexin Wang, Xiejian Zhong, Jianxin Wang, Xiaodong Tian, Xiaoying Wang, Yinmo Yang   +7 more
wiley   +1 more source