Results 71 to 80 of about 971,492 (311)
Lung Nodules Segmentation with DeepHealth Toolkit
, 2022 Abstract. The accurate and consistent border segmentation plays an important role in the tumor volume estimation and its treatment in the field of Medical Image Segmentation. Globally, Lung cancer is one of the leading causes of death and the early detection of lung nodules is essential for the early cancer diagnosis and survival rate of patients.
Hafiza Ayesha Hoor Chaudhry +9 more
openaire +4 more sources
Lung cancer screening reveals a nonspiculated nodule: Histoplasmosis
, 2018 We report the case of a middle aged man, 43-pack-years active smoker, who upon radiographic screening for lung cancer found to have a non-spiculated lung nodule concerning for malignancy. Histologic evaluation of this lesion turned out to be a nodule due
Teresa Khoo, Gary Clarke, George Psevdos
core +1 more source
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction
, 2023 Lung nodule malignancy prediction has been enhanced by advanced deep-learning techniques and effective tricks. Nevertheless, current methods are mainly trained with cross-entropy loss using one-hot categorical labels, which results in difficulty in ...
Li, Zilong +4 more
core +1 more source
Continuum Robots in Surgery: From Engineering Design to Clinical Practice
Advanced Robotics Research, EarlyView.The hyper‐redundant nature of continuum robot structures enables near‐infinite degrees of freedom leading to immense potential for medical applications. This review provides a historical background of continuum robots and novel ideas shaping their progress to current structural design, sensing technology, modeling techniques, and control methods.
Griffin Smith +6 more
wiley +1 more source
A semisupervised knowledge distillation model for lung nodule segmentation
Scientific ReportsEarly screening of lung nodules is mainly done manually by reading the patient’s lung CT. This approach is time-consuming laborious and prone to leakage and misdiagnosis. Current methods for lung nodule detection face limitations such as the high cost of
Wenjuan Liu +5 more
doaj +1 more source
, 2018 Introduction: Lung nodules are frequently identified on imaging studies and can represent early lung cancers. We instituted the Lung Nodule Evaluation Team (LNET) to optimize management of these nodules by a lung specialist physician.
Jennifer PENDLETON +4 more
core +1 more source
, 2022 In the last few years, minimally invasive surgery has become the standard routine practice to manage lung nodules. Particularly in the case of robotic thoracic surgery, the identification of the lung nodules that do not surface on the visceral pleura ...
Daniele Forcella (13108896) +8 more
core +1 more source
Advanced Robotics Research, EarlyView.Flexible surgical robots are advancing minimally invasive interventions for cardiovascular diseases and cancer by enabling precise navigation through complex, submillimeter anatomical pathways. This review highlights recent innovations in actuation, bio‐integrated sensing, AI‐assisted control, and friction‐reduction technologies, discusses current ...
Hermione Truong +14 more
wiley +1 more source
Advanced Science, EarlyView.HOXC11 drives colorectal cancer progression by transcriptionally activating CAMK2A, which triggers NF‐κB–dependent CXCL5 upregulation. CXCL5–CXCR2 signaling further reinforces HOXC11 expression through the ERK1/2–SP1 axis, forming a prometastatic positive feedback loop that is effectively disrupted by combined CAMK2A and CXCR2 inhibition.
Qingyang Sun +12 more
wiley +1 more source
Chinese Journal of Lung Cancer, 2018 Background and objective Localization of multiple small lung nodules is the technical difficulty of minimally invasive operation resection. However, there are few clinical studies on the preoperative localization of multiple small lung nodules.
Fengwei LI +4 more
doaj +1 more source