Results 41 to 50 of about 3,330,839 (370)

Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis [PDF]

open access: yesarXiv, 2023
Early detection and localization of pancreatic cancer can increase the 5-year survival rate for patients from 8.5% to 20%. Artificial intelligence (AI) can potentially assist radiologists in detecting pancreatic tumors at an early stage. Training AI models require a vast number of annotated examples, but the availability of CT scans obtaining early ...
arxiv  

Multimodal neuronavigation in preoperative planning and intraoperative orientation in brain tumors surgery

open access: yesUkrainian Neurosurgical Journal, 2014
Purpose. Brain tumors surgery optimization using multimodal neuronavigation (MN).Materials and methods. 443 patients with brain tumors, been operated with MN, were included in the study.
Volodymyr Rozumenko   +3 more
doaj   +1 more source

The utility of ancillary techniques in the cyto-diagnosis of malignant scalp lesions

open access: yesJournal of Cytology, 2021
Background: Fine needle aspiration cytology (FNAC) is rapid, inexpensive, and easy technique to establish the diagnosis of scalp lesions. The use of ancillary techniques such as immunocytochemistry (ICC), immunohistochemistry (IHC), and flow cytometry on
Saumya Shukla   +5 more
doaj   +1 more source

Oncoplastic central quadrantectomies [PDF]

open access: yes, 2016
Tumors localized in the central quadrant (centrally located breast tumors) have always represented a challenge for the surgeon because of the critical aesthetical matters related to the nipple-areola complex (NAC).
AMABILE, MARIA IDA   +7 more
core   +1 more source

Tumor-Associated Macrophages in Tumor Immunity [PDF]

open access: yesFrontiers in Immunology, 2020
Tumor-associated macrophages (TAMs) represent one of the main tumor-infiltrating immune cell types and are generally categorized into either of two functionally contrasting subtypes, namely classical activated M1 macrophages and alternatively activated M2 macrophages.
Yueyun Pan   +5 more
openaire   +3 more sources

Superior sulcus tumors (Pancoast tumors) [PDF]

open access: yesAnnals of Translational Medicine, 2016
Superior Sulcus Tumors, frequently termed as Pancoast tumors, are a wide range of tumors invading the apical chest wall. Due to its localization in the apex of the lung, with the potential invasion of the lower part of the brachial plexus, first ribs, vertebrae, subclavian vessels or stellate ganglion, the superior sulcus tumors cause characteristic ...
Marulli, Giuseppe   +4 more
openaire   +4 more sources

Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model [PDF]

open access: yesarXiv, 2021
In the clinical diagnosis and treatment of brain tumors, manual image reading consumes a lot of energy and time. In recent years, the automatic tumor classification technology based on deep learning has entered people's field of vision. Brain tumors can be divided into primary and secondary intracranial tumors according to their source. However, to our
arxiv  

TERT expression is susceptible to BRAF and ETS-factor inhibition in BRAF V600E /TERT promoter double-mutated glioma

open access: yesActa Neuropathologica Communications, 2019
The BRAF gene and the TERT promoter are among the most frequently altered genomic loci in low-grade (LGG) and high-grade-glioma (HGG), respectively.
Lisa Gabler   +19 more
doaj   +1 more source

Synthetic Tumors Make AI Segment Tumors Better [PDF]

open access: yesarXiv, 2022
We develop a novel strategy to generate synthetic tumors. Unlike existing works, the tumors generated by our strategy have two intriguing advantages: (1) realistic in shape and texture, which even medical professionals can confuse with real tumors; (2) effective for AI model training, which can perform liver tumor segmentation similarly to a model ...
arxiv  

Label-Free Liver Tumor Segmentation [PDF]

open access: yesarXiv, 2023
We demonstrate that AI models can accurately segment liver tumors without the need for manual annotation by using synthetic tumors in CT scans. Our synthetic tumors have two intriguing advantages: (I) realistic in shape and texture, which even medical professionals can confuse with real tumors; (II) effective for training AI models, which can perform ...
arxiv  

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