Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks

The image-based diagnosis is now a vital aspect of modern automation assisted diagnosis. To enable models to produce pixel-level diagnosis, pixel-level ground-truth labels are essentially required. However, since it is often not straight forward to obtain the labels in many application domains such as in medical image, classification-based approaches have become the de facto standard to perform the diagnosis. Though they can identify class-salient regions, they may not be useful for diagnosis where capturing all of the evidences is important requirement. Alternatively, a counterfactual explanation (CX) aims at providing explanations using a casual reasoning process of form "If X has not happend, Y would not heppend". Existing CX approaches, however, use classifier to explain features that can change its predictions. Thus, they can only explain class-salient features, rather than entire object of interest. This hence motivates us to propose a novel CX strategy that is not reliant on image classification. This work is inspired from the recent developments in generative adversarial networks (GANs) based image-to-image domain translation, and leverages to translate an abnormal image to counterpart normal image (i.e. counterfactual instance CI) to find discrepancy maps between the two. Since it is generally not possible to obtain abnormal and normal image pairs, we leverage Cycle-Consistency principle (a.k.a CycleGAN) to perform the translation in unsupervised way. We formulate CX in terms of a discrepancy map that, when added from the abnormal image, will make it indistinguishable from the CI. We evaluate our method on three datasets including a synthetic, tuberculosis and BraTS dataset. All these experiments confirm the supremacy of propose method in generating accurate CX and CI

A novel test configuration design method for inverse identification of in-plane moduli of a composite plate under the PFEUM framework

We propose a novel sensitivity based approach that predicts and explains the accuracy of material parameter identification for a composite plate using the Projected Finite Element Update Method. A typical experiment using the Projected Finite Element Update Method technique involves a plate specimen held at 3 or 4 supports and bent under the application of a point load. Two‐Dimensional Digital Image Correlation is used to measure the pseudo displacements resulting from the projection of out‐of‐plane deflection of the plate onto the image plane. A cost function relating the projected numerical and experimental displacement fields is then minimised to obtain the material parameters. It is shown that the contribution of a specific material parameter in the observed displacement field influences the accuracy of its identification. The contributions from material parameters are first quantified in terms of sensitivity criterion that may be tailored by changing the elements of test configuration such as location of supports, the load application point, and the specimen geometry. Several test configurations are designed by maximising the sensitivities corresponding to individual material parameters. The relevance of proposed sensitivity criterion in these configurations is then validated through material identification in simulated experiments with added Gaussian noise. Finally, a thin CFRP plate is tested under these configurations to demonstrate the practical use of this approach. The proposed approach helps in robust estimation of the in‐plane elastic moduli from a bent composite plate with a simple Two‐Dimensional Digital Image Correlation setup without requiring measurement of the actual plate deflection or curvatures

Towards Scene Understanding with Detailed 3D Object Representations

Current approaches to semantic image and scene understanding typically employ rather simple object representations such as 2D or 3D bounding boxes. While such coarse models are robust and allow for reliable object detection, they discard much of the information about objects' 3D shape and pose, and thus do not lend themselves well to higher-level reasoning. Here, we propose to base scene understanding on a high-resolution object representation. An object class - in our case cars - is modeled as a deformable 3D wireframe, which enables fine-grained modeling at the level of individual vertices and faces. We augment that model to explicitly include vertex-level occlusion, and embed all instances in a common coordinate frame, in order to infer and exploit object-object interactions. Specifically, from a single view we jointly estimate the shapes and poses of multiple objects in a common 3D frame. A ground plane in that frame is estimated by consensus among different objects, which significantly stabilizes monocular 3D pose estimation. The fine-grained model, in conjunction with the explicit 3D scene model, further allows one to infer part-level occlusions between the modeled objects, as well as occlusions by other, unmodeled scene elements. To demonstrate the benefits of such detailed object class models in the context of scene understanding we systematically evaluate our approach on the challenging KITTI street scene dataset. The experiments show that the model's ability to utilize image evidence at the level of individual parts improves monocular 3D pose estimation w.r.t. both location and (continuous) viewpoint.Comment: International Journal of Computer Vision (appeared online on 4 November 2014). Online version: http://link.springer.com/article/10.1007/s11263-014-0780-

Peutz-Jeghers Syndrome presenting as Intussusception in a young female: A Case Report

Peutz-jeghers syndrome is rare condition with autosomal dominant inheritance. It is due to the mutation in a tumor suppressor gene SK 11 at chromosome no 9. It has a very characteristic presentation. Patient usually presents at a young age with intestinal obstruction due to polyps leading to intussusception. Also there is melanosis at perioral, digits and perineal regions. There is very strong association of cervical and breast carcinoma in females and testicular tumors in males. GIT, pancreatic and lung malignancies occur in both sexes. Regular follow up and screening are necessary for early detection of malignancies. We present a case of young girl who presented with intestinal obstruction along with other signs and symptoms of peutz-jeghers syndrome. Exploratory laparotomy revealed jejunoileal intussusception and hamartomatous polyps. Patient and other family members were advised screening studies of associated malignancies and regular follow up

Comparing the Techniques for Management of Closed Tibial Fractures

Objective: The objective is to compare the radiological outcome of closed interlock intramedullary nailing versus dynamic compression plating in closed tibial fracture. Methodology: The study took place in Department of orthopedics Nishtar Hospital Multan from 9th July 2016 to March 2017. Study design is randomized controlled trials. There were 302 patients divided in two equal groups of 151. Permission was taken from the ethical committee of Nishtar Hospital. The 302 patients in age group 20-50 years of both genders meeting the inclusion and exclusion criteria attending the outpatient clinic or admitted to the orthopedics department through emergency were included in the study. All the data entered and analyzed using computer software SPSS version 10. For quantitative variables like age and duration of fracture mean and standard deviation was calculated. For categorical variables like gender, malunion and infection frequency and percentage were calculated. Chi-square test was applied to compare the malunion and infection in both groups. A p value 0.05 was considered statistically significant. Results: The 100% (n=302) patients were divided into 2 groups equally, 151 in each, i.e. intramedullary nail (group 1) and dynamic compression plating (group 2). The main outcome variables of this study were the malunion and infection. It was observed that malunion presented as 57% (n=86) and 70.9% (n=107) in group 1 and group 2 respectively. It was also observed that infection presented as 23.2% (n=35) and 37.1% (n=56) in group 1 and group 2 respectively. After applying chi-square test, it was noted that malunion associated with groups having p-value 0.012. But it was not associated with gender, stratified age and duration of fracture having p-values 0.497, 0.800 and 0.218 respectively. Similarly, after applying chi-square test, it was noted that infection associated with gender and groups having p-values 0.007 and 0.008 respectively. But it was not associated with stratified age and duration of fracture having p-values 0.565 and 0.344 respectively. Conclusion: Closed interlock intramedullary nailing has malunion and infection rates less than dynamic compression plating. So closed interlock intramedullary nailing is preferred method of closed tibia diaphyseal fracture treatment. Keywords: Intramedullary nailing, closed tibia diaphyseal fracture, dynamic compression plating

N-Benzyl-N-cyclo­hexyl­benzene­sulfonamide

In the title compound, C19H23NO2S, the cyclo­hexyl ring exists in a chair form. The dihedral angle between the two terminal phenyl rings is 86.70 (6)°. No significant inter­actions are observed except for a weak intra­molecular C—H⋯O hydrogen bond

N-Cyclo­hexyl-N-propyl­benzene­sulfonamide

The title compound, C15H23NO2S, synthesized by N-methyl­ation of cyclo­hexyl­amine sulfonamide with propyl iodide, is of inter­est as a precursor to biologically active sulfur-containing heterocyclic compounds. The cyclo­hexyl ring exists in the chair form and the dihedral angle between the ring plane of the benzene ring and that of the cyclo­hexyl ring is 50.13 (9)°