8 accepted papers
Pulmonary segments parcellation is essential to thoracoscopic segmentectomy. Surgeons manually outline pulmonary segments from preoperative images before surgery, which is a time-consuming, labor-intensive and mental-stress procedure. This work proposes a novel small learning model of deep support v…
Pleural effusion segmentation in computed tomography images is essential to its precise diagnosis and treatment but remains challenging due to blurred boundaries, heterogeneous morphology, and low contrast with adjacent anatomical structures. This work shows a first study on pleural effusion segment…
Endoscope tracking is commonly utilized to provide surgeons with in-body camera poses and visual fields during invasive procedures. The fundamental aspect of endoscopic navigation lies in precisely and continuously tracing the position and orientation of the endoscope within monocular endoscopic vid
Monocular endoscopic depth estimation is essential for surgical navigation. Current deeply learned estimation methods still suffer from lack of real data labels and porous, artifacts (e.g., bubbles), illumination variations (e.g., specular highlight), and weak texture in endoscopic video images. Thi…
Endoscopy 3D reconstruction can provide more intuitive perception of the lesions in minimally invasive surgery. The success of 3D reconstruction highly relies on high-quality feature matches between the monocular image pairs, which remains challenging in the textureless endoscopic scenario. In this…
Surface reconstruction is an essential way to expand surgical field of view during endoscopic surgery, but it certainly requires dense depth estimation of endoscopic video sequences. Unfortunately, such a dense depth recovery suffers from illumination variation, weak texture, and occlusion. To addre…
Unsupervised domain adaptation commonly uses cycle generative networks to produce synthesis data from source to target domains. Unfortunately, translated samples cannot effectively preserve semantic information from input sources, resulting in bad or low adaptability of the network to segment target…
Vessel and neurovascular bundle localization plays an essential role in endoscopic and robotic surgery. It still remains challenging to spare vessels and neurovascular bundles to avoid inadvertent injury due to limited visual and tactile perception of surgeons. This work assumes that surgeons have g