ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.16036
  4. Cited By
A Cascaded Approach for ultraly High Performance Lesion Detection and
  False Positive Removal in Liver CT Scans

A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans

28 June 2023
Fakai Wang
Chi-Tung Cheng
Chien-Wei Peng
K. Yan
Min Wu
Le Lu
Chien-Hung Liao
Ling Zhang
    MedIm
ArXivPDFHTML

Papers citing "A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans"

2 / 2 papers shown
Title
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient
  Network
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
K. Yan
Xiaoli Yin
Yingda Xia
Fakai Wang
Shu Wang
...
Xiaoyu Bai
Jingren Zhou
Ling Zhang
Le Lu
Yu Shi
MedIm
22
5
0
17 Jul 2023
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural
  Network Method
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method
Xiao Han
MedIm
36
155
0
24 Apr 2017
1