output
20152026
most citedDeep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer

131 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2025

PC-UNet: An Enforcing Poisson Statistics U-Net for Positron Emission Tomography Denoising

Yang Shi, Jingchao Wang, Liangsi Lu +9

Positron Emission Tomography (PET) is crucial in medicine, but its clinical use is limited due to high signal-to-noise ratio doses increasing radiation exposure. Lowering doses inc…

cs.CV2018★ 10 cited

Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification

Shaoning Zeng, Bob Zhang, Yanghao Zhang +1

Deep convolutional neural networks provide a powerful feature learning capability for image classification. The deep image features can be utilized to deal with many image understa…

cs.CV2016

Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision

Dapeng Luo, Zhipeng Zeng, Nong Sang +5

One object class may show large variations due to diverse illuminations, backgrounds and camera viewpoints. Traditional object detection methods often perform worse under unconstra…

cs.CV2015★ 3 cited

Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy

Zhanglin Peng, Ya Li, Zhaoquan Cai +1

This work investigates how the traditional image classification pipelines can be extended into a deep architecture, inspired by recent successes of deep neural networks. We propose…

cs.CV2015★ 7 cited

Data-Driven Scene Understanding with Adaptively Retrieved Exemplars

Xionghao Liu, Wei Yang, Liang Lin +3

This article investigates a data-driven approach for semantically scene understanding, without pixelwise annotation and classifier training. Our framework parses a target image wit…