3D-printed multifunctional materials enabled by artificial-intelligence-assisted fabrication technologies
The emerging capability to 3D print a diverse palette of functional inks will enable the mass
democratization of patient-specific wearable devices and smart biomedical implants for …
democratization of patient-specific wearable devices and smart biomedical implants for …
Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
Abstract The Global Cancer Statistics 2020 reported breast cancer (BC) as the most
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …
Artificial intelligence for surgical safety: automatic assessment of the critical view of safety in laparoscopic cholecystectomy using deep learning
Objective: To develop a deep learning model to automatically segment hepatocystic
anatomy and assess the criteria defining the critical view of safety (CVS) in laparoscopic …
anatomy and assess the criteria defining the critical view of safety (CVS) in laparoscopic …
Automatic instrument segmentation in robot-assisted surgery using deep learning
Semantic segmentation of robotic instruments is an important problem for the robot-assisted
surgery. One of the main challenges is to correctly detect an instrument's position for the …
surgery. One of the main challenges is to correctly detect an instrument's position for the …
Fruit detection, segmentation and 3D visualisation of environments in apple orchards
Abstract Development of an accurate and reliable fruit detection system is a challenging
task. There are many complex conditions in orchard environments, such as changing …
task. There are many complex conditions in orchard environments, such as changing …
2017 robotic instrument segmentation challenge
In mainstream computer vision and machine learning, public datasets such as ImageNet,
COCO and KITTI have helped drive enormous improvements by enabling researchers to …
COCO and KITTI have helped drive enormous improvements by enabling researchers to …
Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
Gastrointestinal (GI) pathologies are periodically screened, biopsied, and resected using
surgical tools. Usually, the procedures and the treated or resected areas are not specifically …
surgical tools. Usually, the procedures and the treated or resected areas are not specifically …
[HTML][HTML] Histogram of oriented gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation
We present our novel deep multi-task learning method for medical image segmentation.
Existing multi-task methods demand ground truth annotations for both the primary and …
Existing multi-task methods demand ground truth annotations for both the primary and …
Concurrent segmentation and localization for tracking of surgical instruments
Real-time instrument tracking is a crucial requirement for various computer-assisted
interventions. To overcome problems such as specular reflection and motion blur, we …
interventions. To overcome problems such as specular reflection and motion blur, we …
Cai4cai: the rise of contextual artificial intelligence in computer-assisted interventions
Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …
from medical images with reliability, accuracy, and speed, which is already transforming …