Results 71 to 80 of about 66,018 (333)

Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images [PDF]

arXiv, 2019
This paper presents results of applying Inception v4 deep convolutional neural network to ICIAR-2018 Breast Cancer Classification Grand Challenge, part a. The Challenge task is to classify breast cancer biopsy results, presented in form of hematoxylin and eosin stained images.
arxiv  

Vision Transformer for Classification of Breast Ultrasound Images [PDF]

arXiv, 2021
Medical ultrasound (US) imaging has become a prominent modality for breast cancer imaging due to its ease-of-use, low-cost and safety. In the past decade, convolutional neural networks (CNNs) have emerged as the method of choice in vision applications and have shown excellent potential in automatic classification of US images.
arxiv  

Transaxillary Endoscopic Breast Augmentation [PDF]

Archives of Plastic Surgery, 2014
The axillary technique is the most popular approach to breast augmentation among Korean women. Transaxillary breast augmentation is now conducted with sharp electrocautery dissection under direct endoscopic vision throughout the entire process. The aims of this method are clear: both a bloodless pocket and a sharp non-traumatic dissection.
openaire   +3 more sources

Advanced Materials for Biological Field‐Effect Transistors (Bio‐FETs) in Precision Healthcare and Biosensing

Advanced Healthcare Materials, EarlyView.
This review explores how advanced materials enhance Bio‐FETs for precision healthcare and biosensing. It covers their working principles, surface functionalization, and ultra‐sensitive detection capabilities. The integration of flexible designs, AI, and IoT for real‐time monitoring is discussed, along with challenges like material reproducibility and ...
Minal Pandey, Manish Bhaiyya, Prakash Rewatkar, Jitendra B. Zalke, Nitin P. Narkhede, Hossam Haick   +5 more
wiley   +1 more source

Secondary Implant Augmentation in the Subpectoral Plane following Abdominal-based Perforator Flaps for Breast Reconstruction

Plastic and Reconstructive Surgery, Global Open, 2020
Background:. Abdominal-based perforator flaps are the gold standard for autologous breast reconstruction. However, among patients with a small-to-medium amount of redundant abdominal tissue, this may result in an inadequate breast mound.
Muayyad Alhefzi, MBBS, Sophocles H. Voineskos, MD, MSc, Christopher J. Coroneos, MD, MSc, Achilleas Thoma, MD, MSc, Ronen Avram, MD, MSc   +4 more
doaj   +1 more source

Fuzzy Semantic Segmentation of Breast Ultrasound Image with Breast Anatomy Constraints [PDF]

arXiv, 2019
Breast cancer is one of the most serious disease affecting women's health. Due to low cost, portable, no radiation, and high efficiency, breast ultrasound (BUS) imaging is the most popular approach for diagnosing early breast cancer. However, ultrasound images are low resolution and poor quality.
arxiv  

Ropivacaine in Breast Augmentation Surgery

Plastic and Reconstructive Surgery - Global Open, 2018
Background: Breast augmentation surgery is still 1 of the most popular procedures in plastic surgery. Like other surgical procedures, it has been traditionally handled with nonsteroidal anti-inflammatory drugs and narcotics, which had many adverse effects; therefore, alternatives with the same effectiveness are being researched.
Héctor César Durán-Vega, Iván Arturo Arellano Silva, Andrés Medina Gutierrez, Arturo Ramírez-Montañana, Adriana Zapata González, Evangelina Gonzalez Galindo, Octavio Gonzalez Galindo   +6 more
openaire   +4 more sources

Digitonin‐Loaded Nanoscale Metal–Organic Framework for Mitochondria‐Targeted Radiotherapy‐Radiodynamic Therapy and Disulfidptosis

Advanced Materials, EarlyView.
A mitochondria‐targeted cationic nanoscale metal organic framework shows strong radiotherapy‐radiodynamic therapy effects and selectively releases digitonin in acidic tumor microenvironments to induce disulfidptosis of cancer cells and downregulate immune checkpoints in cancer and T cells, thereby eliciting strong antitumor immunity to effectively ...
Wenyao Zhen, Yingjie Fan, Tomas Germanas, Langston Tillman, Jinhong Li, Abigail L. Blenko, Ralph R. Weichselbaum, Wenbin Lin   +7 more
wiley   +1 more source

Conditional Infilling GANs for Data Augmentation in Mammogram Classification [PDF]

arXiv, 2018
Deep learning approaches to breast cancer detection in mammograms have recently shown promising results. However, such models are constrained by the limited size of publicly available mammography datasets, in large part due to privacy concerns and the high cost of generating expert annotations. Limited dataset size is further exacerbated by substantial
arxiv  

Engineering CAR‐T Therapeutics for Enhanced Solid Tumor Targeting

Advanced Materials, EarlyView.
CART cell therapy has proven effective for blood cancers but struggles with solid tumors due to diverse antigens and complex environments. Recent efforts focus on improving CAR design and validation platforms. Advances in protein engineering, machine learning, and organoid systems aim to enhance CAR‐T therapy against solid tumors.
Danqing Zhu, Won Joon Kim, Hyunjin Lee, Xiaoping Bao, Pilnam Kim   +4 more
wiley   +1 more source