Results 201 to 210 of about 15,751 (313)

Clinical Performance of Automated IMRT with High Intensity Flattening-Filter-Free Beams in Comparison to VMAT for Head and Neck Cancers [PDF]

, 2011
Jun Duan, Sharon A. Spencer, Sui Shen, I Brezovich, James A. Bonner   +4 more
openalex   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Comparison of Moderate Hypofractionated Volumetric-Modulated Arc Therapy Plans With and Without Flattening Filter for Localized Prostate Cancer. [PDF]

Cureus, 2021
Takakusagi Y, Usui K, Mizoguchi N, Nagatsuka J, Hikage T, Kodama Y, Ezura T, Kusunoki T, Oizumi Y.   +8 more
europepmc   +1 more source

Shapley Additive Explanation for Local Class Differentiation: Local Explainability for Class Differentiation in Classification Models

Advanced Intelligent Systems, EarlyView.
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna, Hugo A. Ordoñez Erazo, Carlos A. Cobos Lozada   +2 more
wiley   +1 more source

Effectiveness of Automated Treatment Planning for Left-sided Breast in Flattening Filter-free Photon Beams. [PDF]

J Med Phys
Tansangworn P, Chatchumnan N, Saksornchai K, Kingkaew S, Vimolnoch M, Oonsiri P, Oonsiri S.   +6 more
europepmc   +1 more source

EP-2358: Exploration of flattening filter free vs flattening filter beam for Breast irradiation

Radiotherapy and Oncology, 2018
openaire   +1 more source

Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes

Advanced Intelligent Systems, EarlyView.
Neural networks enable echolocation‐based shape classification but remain difficult to interpret due to their black‐box nature. This work presents a feature‐importance metric to uncover the echo regions driving decisions in shape‐specialized networks.
Ganesh U. Patil, Hyung‐Suk Kwon, Bogdan‐Ioan Popa   +2 more
wiley   +1 more source

Flattening filter free stereotactic body radiation therapy for lung tumors: outcomes and predictive factors. [PDF]

Transl Cancer Res, 2021
Jaruthien T, Kitpanit S, Kannarunimit D, Nantavithya C, Prayongrat A, Alisanant P, Saksornchai K, Amornwichet N, Raiyava T, Chakkabat C, Lertbutsayanukul C, Khorprasert C, Shotelersuk K.   +12 more
europepmc   +1 more source

A dosimetric and treatment efficiency evaluation of stereotactic body radiation therapy for peripheral lung cancer using flattening filter free beams

, 2016
Jiyong Zhang, Jia-Yang Lu, Lili Wu, Danli Hong, Changchun Ma, Xun Peng, Zhixiong Lin   +6 more
openalex   +2 more sources

Impact of Flattening Filter–Free (FFF) Radiation on the Clonogenic Survival of Astrocytoma Cell Lines [PDF]

, 2014
Frank A. Giordano, Caroline Steenken, Jens Fleckenstein, L. Jahnke, Stefan Kegel, Laura Hartmann, Joachim F. Kuebler, Frederik Wenz, Carsten Herskind   +8 more
openalex   +1 more source