A systematic review of deep learning based image segmentation to detect polyp
Among the world's most common cancers, colorectal cancer is the third most severe form of
cancer. Early polyp detection reduces the risk of colorectal cancer, vital for effective …
cancer. Early polyp detection reduces the risk of colorectal cancer, vital for effective …
Polyp detection from colorectum images by using attentive YOLOv5
Background: High-quality colonoscopy is essential to prevent the occurrence of colorectal
cancers. The data of colonoscopy are mainly stored in the form of images. Therefore …
cancers. The data of colonoscopy are mainly stored in the form of images. Therefore …
Mapsegnet: A fully automated model based on the encoder-decoder architecture for indoor map segmentation
Image segmentation in robotics is an ongoing research field in which neural networks have
shown promising performance. In this paper, we introduce MapSegNet, a deep …
shown promising performance. In this paper, we introduce MapSegNet, a deep …
Photorealistic style transfer fusing frequency separation channel attention mechanism and mirror flow pyramid integration
H Liu, Y Wang, G Yang, H Xu… - Journal of Intelligent & …, 2024 - content.iospress.com
Photorealistic image style transfer aims to transfer style information while preserving the
realistic details of the content image. However, an existing limitation is the inability to …
realistic details of the content image. However, an existing limitation is the inability to …
AB-deeplabv3+: An encoder-decoder method with attention mechanism for polyp segmentation
A polyp is an abnormal growth that can occur in the colon and can be a precursor to
colorectal cancer. Colorectal cancer can be diagnosed and treated earlier when polyps are …
colorectal cancer. Colorectal cancer can be diagnosed and treated earlier when polyps are …
Fast and high precision phase recovery technology of single-shot ineterferogram based on depth convolution neural network
Y Kuang, J Li, F Liu, Y Wu, R Zhang - Journal of Optics, 2023 - iopscience.iop.org
Phase retrieval from single interferogram is of great interest for the possibility of dynamic
phase measurement. However, it is a very complicated process in reality since the …
phase measurement. However, it is a very complicated process in reality since the …
Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture
L Zelioli, F Farahnakian, F Farahnakian… - 2024 27th …, 2024 - ieeexplore.ieee.org
Peatland classification provides valuable information for greenhouse gas inventory and
biodiversity protection. In this paper, we proposed an encoder-decoder-based architecture …
biodiversity protection. In this paper, we proposed an encoder-decoder-based architecture …
Segmentation of Instances in an Image with Custom Neural Networks
GB Mohan, NA Prasad… - … For Internet of …, 2024 - ieeexplore.ieee.org
Image segmentation is a computer vision problem that involves splitting an image into
particular regions, enabling precise object identification and analysis. While conventional U …
particular regions, enabling precise object identification and analysis. While conventional U …
TDIS: Medical Image Recognition Based on Target Detection and Image Segmentation
R Li, Z Guan, G Song, D Chen, J Qv… - … and Robotics (ICICR), 2024 - ieeexplore.ieee.org
The recognition of medical images has the characteristics of large image changes and
insignificant grayscale changes, which requires medical personnel to repeatedly observe …
insignificant grayscale changes, which requires medical personnel to repeatedly observe …
Computer-Aided Methods to Predict Prostate MRI Quality via Rectal Content Estimation
AWM Al-Hayali - 2022 - atrium.lib.uoguelph.ca
Prostate MRI performance depends on high-quality imaging. Prostate MRI quality is
inversely proportional to the amount of rectal gas and rectal distention. Early detection of …
inversely proportional to the amount of rectal gas and rectal distention. Early detection of …